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2020 – today
- 2024
[c78]Tu Vu, Mohit Iyyer, Xuezhi Wang, Noah Constant, Jerry W. Wei, Jason Wei, Chris Tar, Yun-Hsuan Sung, Denny Zhou, Quoc V. Le, Thang Luong:
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. ACL (Findings) 2024: 13697-13720- [c77]Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum:
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation. ACL (1) 2024: 14201-14214 - [c76]Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer:
How Does In-Context Learning Help Prompt Tuning? EACL (Findings) 2024: 156-165 - [c75]Simeng Sun, Yang Liu, Shuohang Wang, Dan Iter, Chenguang Zhu, Mohit Iyyer:
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. EACL (1) 2024: 469-486 - [c74]Chau Pham, Simeng Sun, Mohit Iyyer:
Suri: Multi-constraint Instruction Following in Long-form Text Generation. EMNLP (Findings) 2024: 1722-1753 - [c73]Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer:
PostMark: A Robust Blackbox Watermark for Large Language Models. EMNLP 2024: 8969-8987 - [c72]Yixiao Song, Yekyung Kim, Mohit Iyyer:
VeriScore: Evaluating the factuality of verifiable claims in long-form text generation. EMNLP (Findings) 2024: 9447-9474 - [c71]Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, Mohit Iyyer:
One Thousand and One Pairs: A "novel" challenge for long-context language models. EMNLP 2024: 17048-17085 - [c70]Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer:
BooookScore: A systematic exploration of book-length summarization in the era of LLMs. ICLR 2024 - [c69]Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, Mohit Iyyer:
GEE! Grammar Error Explanation with Large Language Models. NAACL-HLT (Findings) 2024: 754-781 - [c68]Chau Pham, Alexander Miserlis Hoyle, Simeng Sun, Philip Resnik, Mohit Iyyer:
TopicGPT: A Prompt-based Topic Modeling Framework. NAACL-HLT 2024: 2956-2984 - [c67]Prasanna Lakkur Subramanyam
, Mohit Iyyer, Brian Neil Levine:
Triage of Messages and Conversations in a Large-Scale Child Victimization Corpus. WWW 2024: 4544-4554 - [i73]Yekyung Kim, Yapei Chang, Marzena Karpinska, Aparna Garimella, Varun Manjunatha, Kyle Lo, Tanya Goyal, Mohit Iyyer:
FABLES: Evaluating faithfulness and content selection in book-length summarization. CoRR abs/2404.01261 (2024) - [i72]Ali Naseh, Katherine Thai, Mohit Iyyer, Amir Houmansadr:
Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images. CoRR abs/2404.13784 (2024) - [i71]Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer:
PostMark: A Robust Blackbox Watermark for Large Language Models. CoRR abs/2406.14517 (2024) - [i70]Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, Mohit Iyyer:
One Thousand and One Pairs: A "novel" challenge for long-context language models. CoRR abs/2406.16264 (2024) - [i69]Shane Arora, Marzena Karpinska, Hung-Ting Chen, Ipsita Bhattacharjee, Mohit Iyyer, Eunsol Choi:
CaLMQA: Exploring culturally specific long-form question answering across 23 languages. CoRR abs/2406.17761 (2024) - [i68]Yixiao Song, Yekyung Kim, Mohit Iyyer:
VERISCORE: Evaluating the factuality of verifiable claims in long-form text generation. CoRR abs/2406.19276 (2024) - [i67]Chau Minh Pham, Simeng Sun, Mohit Iyyer:
Suri: Multi-constraint Instruction Following for Long-form Text Generation. CoRR abs/2406.19371 (2024) - [i66]Garima Dhanania, Sheshera Mysore, Chau Minh Pham, Mohit Iyyer, Hamed Zamani, Andrew McCallum:
Interactive Topic Models with Optimal Transport. CoRR abs/2406.19928 (2024) - [i65]Rachneet Sachdeva, Yixiao Song, Mohit Iyyer, Iryna Gurevych:
Fine-grained Hallucination Detection and Mitigation in Long-form Question Answering. CoRR abs/2407.11930 (2024) - [i64]Chaitanya Malaviya, Joseph Chee Chang, Dan Roth, Mohit Iyyer, Mark Yatskar, Kyle Lo:
Contextualized Evaluations: Taking the Guesswork Out of Language Model Evaluations. CoRR abs/2411.07237 (2024) - 2023
- [c66]Fangyuan Xu, Yixiao Song, Mohit Iyyer, Eunsol Choi:
A Critical Evaluation of Evaluations for Long-form Question Answering. ACL (1) 2023: 3225-3245 - [c65]Ali Naseh, Kalpesh Krishna, Mohit Iyyer, Amir Houmansadr:
Stealing the Decoding Algorithms of Language Models. CCS 2023: 1835-1849 - [c64]Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, Brendan O'Connor:
ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution. EACL (Findings) 2023: 312-330 - [c63]Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo:
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. EACL 2023: 1642-1661 - [c62]Nader Akoury, Qian Yang, Mohit Iyyer:
A Framework for Exploring Player Perceptions of LLM-Generated Dialogue in Commercial Video Games. EMNLP (Findings) 2023: 2295-2311 - [c61]Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. EMNLP 2023: 12076-12100 - [c60]Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui:
PaRaDe: Passage Ranking using Demonstrations with LLMs. EMNLP (Findings) 2023: 14242-14252 - [c59]Shufan Wang, Yixiao Song, Andrew Drozdov, Aparna Garimella, Varun Manjunatha, Mohit Iyyer:
kNN-LM Does Not Improve Open-ended Text Generation. EMNLP 2023: 15023-15037 - [c58]Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer:
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense. NeurIPS 2023 - [c57]Marzena Karpinska, Mohit Iyyer:
Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist. WMT 2023: 419-451 - [i63]Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo:
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. CoRR abs/2301.13298 (2023) - [i62]Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer:
How Does In-Context Learning Help Prompt Tuning? CoRR abs/2302.11521 (2023) - [i61]Ali Naseh, Kalpesh Krishna, Mohit Iyyer, Amir Houmansadr:
On the Risks of Stealing the Decoding Algorithms of Language Models. CoRR abs/2303.04729 (2023) - [i60]Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer:
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense. CoRR abs/2303.13408 (2023) - [i59]Marzena Karpinska, Mohit Iyyer:
Large language models effectively leverage document-level context for literary translation, but critical errors persist. CoRR abs/2304.03245 (2023) - [i58]Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. CoRR abs/2305.14251 (2023) - [i57]Simeng Sun, Yang Liu, Shuohang Wang, Chenguang Zhu, Mohit Iyyer:
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. CoRR abs/2305.14564 (2023) - [i56]Shufan Wang, Yixiao Song, Andrew Drozdov, Aparna Garimella, Varun Manjunatha, Mohit Iyyer:
KNN-LM Does Not Improve Open-ended Text Generation. CoRR abs/2305.14625 (2023) - [i55]Fangyuan Xu, Yixiao Song, Mohit Iyyer, Eunsol Choi:
A Critical Evaluation of Evaluations for Long-form Question Answering. CoRR abs/2305.18201 (2023) - [i54]Simeng Sun, Dhawal Gupta, Mohit Iyyer:
Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF. CoRR abs/2309.09055 (2023) - [i53]Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer:
BooookScore: A systematic exploration of book-length summarization in the era of LLMs. CoRR abs/2310.00785 (2023) - [i52]Tu Vu, Mohit Iyyer, Xuezhi Wang, Noah Constant, Jerry W. Wei, Jason Wei, Chris Tar, Yun-Hsuan Sung, Denny Zhou, Quoc V. Le, Thang Luong:
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. CoRR abs/2310.03214 (2023) - [i51]Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui:
PaRaDe: Passage Ranking using Demonstrations with Large Language Models. CoRR abs/2310.14408 (2023) - [i50]Chau Minh Pham, Alexander Miserlis Hoyle, Simeng Sun, Mohit Iyyer:
TopicGPT: A Prompt-based Topic Modeling Framework. CoRR abs/2311.01449 (2023) - [i49]Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum:
Multistage Collaborative Knowledge Distillation from Large Language Models. CoRR abs/2311.08640 (2023) - [i48]Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, Mohit Iyyer:
GEE! Grammar Error Explanation with Large Language Models. CoRR abs/2311.09517 (2023) - 2022
- [c56]Katherine Thai, Yapei Chang, Kalpesh Krishna, Mohit Iyyer:
RELiC: Retrieving Evidence for Literary Claims. ACL (1) 2022: 7500-7518 - [c55]Simeng Sun, Brian Dillon, Mohit Iyyer:
How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge? Insights@ACL 2022: 46-53 - [c54]Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer:
RankGen: Improving Text Generation with Large Ranking Models. EMNLP 2022: 199-232 - [c53]Andrew Drozdov, Shufan Wang, Razieh Rahimi, Andrew McCallum, Hamed Zamani, Mohit Iyyer:
You can't pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM. EMNLP (Findings) 2022: 2997-3007 - [c52]Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Mohit Iyyer:
SLING: Sino Linguistic Evaluation of Large Language Models. EMNLP 2022: 4606-4634 - [c51]Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant:
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. EMNLP 2022: 9279-9300 - [c50]Marzena Karpinska, Nishant Raj, Katherine Thai, Yixiao Song, Ankita Gupta, Mohit Iyyer:
DEMETR: Diagnosing Evaluation Metrics for Translation. EMNLP 2022: 9540-9561 - [c49]Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, Mohit Iyyer:
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature. EMNLP 2022: 9882-9902 - [c48]Shufan Wang, Fangyuan Xu, Laure Thompson, Eunsol Choi, Mohit Iyyer:
Modeling Exemplification in Long-form Question Answering via Retrieval. NAACL-HLT 2022: 2079-2092 - [c47]Simeng Sun, Katherine Thai, Mohit Iyyer:
ChapterBreak: A Challenge Dataset for Long-Range Language Models. NAACL-HLT 2022: 3704-3714 - [i47]Katherine Thai, Yapei Chang, Kalpesh Krishna, Mohit Iyyer:
RELIC: Retrieving Evidence for Literary Claims. CoRR abs/2203.10053 (2022) - [i46]Simeng Sun, Katherine Thai, Mohit Iyyer:
ChapterBreak: A Challenge Dataset for Long-Range Language Models. CoRR abs/2204.10878 (2022) - [i45]Shufan Wang, Fangyuan Xu, Laure Thompson, Eunsol Choi, Mohit Iyyer:
Modeling Exemplification in Long-form Question Answering via Retrieval. CoRR abs/2205.09278 (2022) - [i44]Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer:
RankGen: Improving Text Generation with Large Ranking Models. CoRR abs/2205.09726 (2022) - [i43]Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant:
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. CoRR abs/2205.12647 (2022) - [i42]Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, Brendan T. O'Connor:
ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution. CoRR abs/2210.07188 (2022) - [i41]Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Mohit Iyyer:
SLING: Sino Linguistic Evaluation of Large Language Models. CoRR abs/2210.11689 (2022) - [i40]Marzena Karpinska, Nishant Raj, Katherine Thai, Yixiao Song, Ankita Gupta, Mohit Iyyer:
DEMETR: Diagnosing Evaluation Metrics for Translation. CoRR abs/2210.13746 (2022) - [i39]Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, Mohit Iyyer:
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature. CoRR abs/2210.14250 (2022) - [i38]Andrew Drozdov, Shufan Wang, Razieh Rahimi, Andrew McCallum, Hamed Zamani, Mohit Iyyer:
You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LM. CoRR abs/2210.15859 (2022) - 2021
- [c46]Iman Deznabi, Mohit Iyyer, Madalina Fiterau:
Predicting in-hospital mortality by combining clinical notes with time-series data. ACL/IJCNLP (Findings) 2021: 4026-4031 - [c45]Sumanta Bhattacharyya, Amirmohammad Rooshenas, Subhajit Naskar, Simeng Sun, Mohit Iyyer, Andrew McCallum:
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models. ACL/IJCNLP (1) 2021: 4528-4537 - [c44]Amee Trivedi, Kate Silverstein, Emma Strubell, Prashant J. Shenoy, Mohit Iyyer:
WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing. COMPASS 2021: 126-137 - [c43]Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, Andrew McCallum:
Changing the Mind of Transformers for Topically-Controllable Language Generation. EACL 2021: 2601-2611 - [c42]Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer:
Weakly-Supervised Open-Retrieval Conversational Question Answering. ECIR (1) 2021: 529-543 - [c41]Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke, Mohit Iyyer:
Do Long-Range Language Models Actually Use Long-Range Context? EMNLP (1) 2021: 807-822 - [c40]Marzena Karpinska, Nader Akoury, Mohit Iyyer:
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation. EMNLP (1) 2021: 1265-1285 - [c39]Zhiyang Xu, Andrew Drozdov, Jay-Yoon Lee, Tim O'Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum:
Improved Latent Tree Induction with Distant Supervision via Span Constraints. EMNLP (1) 2021: 4818-4831 - [c38]Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer:
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. EMNLP (1) 2021: 5715-5731 - [c37]Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad I. Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer:
IGA: An Intent-Guided Authoring Assistant. EMNLP (1) 2021: 5972-5985 - [c36]Shufan Wang, Laure Thompson, Mohit Iyyer:
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration. EMNLP (1) 2021: 10837-10851 - [c35]Hiroshi Iida, Dung Thai, Varun Manjunatha, Mohit Iyyer:
TABBIE: Pretrained Representations of Tabular Data. NAACL-HLT 2021: 3446-3456 - [c34]Kalpesh Krishna, Aurko Roy, Mohit Iyyer:
Hurdles to Progress in Long-form Question Answering. NAACL-HLT 2021: 4940-4957 - [c33]Simeng Sun, Mohit Iyyer:
Revisiting Simple Neural Probabilistic Language Models. NAACL-HLT 2021: 5181-5188 - [e2]Song Feng, Siva Reddy, Malihe Alikhani, He He, Yangfeng Ji, Mohit Iyyer, Zhou Yu:
Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, DialDoc@ACL-IJCNLP 2021, Online, August 5, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-68-8 [contents] - [i37]Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer:
Weakly-Supervised Open-Retrieval Conversational Question Answering. CoRR abs/2103.02537 (2021) - [i36]Kalpesh Krishna, Aurko Roy, Mohit Iyyer:
Hurdles to Progress in Long-form Question Answering. CoRR abs/2103.06332 (2021) - [i35]Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, Andrew McCallum:
Changing the Mind of Transformers for Topically-Controllable Language Generation. CoRR abs/2103.15335 (2021) - [i34]Simeng Sun, Mohit Iyyer:
Revisiting Simple Neural Probabilistic Language Models. CoRR abs/2104.03474 (2021) - [i33]Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad I. Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer:
IGA : An Intent-Guided Authoring Assistant. CoRR abs/2104.07000 (2021) - [i32]Hiroshi Iida, Dung Thai, Varun Manjunatha, Mohit Iyyer:
TABBIE: Pretrained Representations of Tabular Data. CoRR abs/2105.02584 (2021) - [i31]Zhiyang Xu, Andrew Drozdov, Jay-Yoon Lee, Tim O'Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum:
Improved Latent Tree Induction with Distant Supervision via Span Constraints. CoRR abs/2109.05112 (2021) - [i30]Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer:
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. CoRR abs/2109.06270 (2021) - [i29]Shufan Wang, Laure Thompson, Mohit Iyyer:
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration. CoRR abs/2109.06304 (2021) - [i28]Marzena Karpinska, Nader Akoury, Mohit Iyyer:
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation. CoRR abs/2109.06835 (2021) - [i27]Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke, Mohit Iyyer:
Do Long-Range Language Models Actually Use Long-Range Context? CoRR abs/2109.09115 (2021) - 2020
- [c32]Weiqiu You, Simeng Sun, Mohit Iyyer:
Hard-Coded Gaussian Attention for Neural Machine Translation. ACL 2020: 7689-7700 - [c31]Kalpesh Krishna, John Wieting, Mohit Iyyer:
Reformulating Unsupervised Style Transfer as Paraphrase Generation. EMNLP (1) 2020: 737-762 - [c30]Andrew Drozdov, Subendhu Rongali, Yi-Pei Chen, Tim O'Gorman, Mohit Iyyer, Andrew McCallum:
Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders. EMNLP (1) 2020: 4832-4845 - [c29]Nader Akoury, Shufan Wang, Josh Whiting, Stephen Hood, Nanyun Peng, Mohit Iyyer:
STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation. EMNLP (1) 2020: 6470-6484 - [c28]Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer:
Exploring and Predicting Transferability across NLP Tasks. EMNLP (1) 2020: 7882-7926 - [c27]Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer:
Thieves on Sesame Street! Model Extraction of BERT-based APIs. ICLR 2020 - [c26]Jordan L. Boyd-Graber, Fenfei Guo, Leah Findlater, Mohit Iyyer:
Which Evaluations Uncover Sense Representations that Actually Make Sense? LREC 2020: 1727-1738 - [c25]Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer:
Open-Retrieval Conversational Question Answering. SIGIR 2020: 539-548 - [e1]Claire Bonial, Tommaso Caselli, Snigdha Chaturvedi, Elizabeth Clark, Ruihong Huang, Mohit Iyyer, Alejandro Jaimes, Heng Ji, Lara J. Martin, Ben Miller, Teruko Mitamura, Nanyun Peng, Joel R. Tetreault:
Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, NUSE@ACL 2020, Online, July 9, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-13-2 [contents] - [i26]Weiqiu You, Simeng Sun, Mohit Iyyer:
Hard-Coded Gaussian Attention for Neural Machine Translation. CoRR abs/2005.00742 (2020) - [i25]Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer:
Exploring and Predicting Transferability across NLP Tasks. CoRR abs/2005.00770 (2020) - [i24]Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer:
Open-Retrieval Conversational Question Answering. CoRR abs/2005.11364 (2020) - [i23]Subhajit Naskar, Amirmohammad Rooshenas, Simeng Sun, Mohit Iyyer, Andrew McCallum:
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models. CoRR abs/2009.13267 (2020) - [i22]Nader Akoury, Shufan Wang, Josh Whiting, Stephen Hood, Nanyun Peng, Mohit Iyyer:
STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation. CoRR abs/2010.01717 (2020) - [i21]Kalpesh Krishna, John Wieting, Mohit Iyyer:
Reformulating Unsupervised Style Transfer as Paraphrase Generation. CoRR abs/2010.05700 (2020) - [i20]Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, Brendan O'Connor, Mohit Iyyer:
Analyzing Gender Bias within Narrative Tropes. CoRR abs/2011.00092 (2020)
2010 – 2019
- 2019
- [c24]Nader Akoury, Kalpesh Krishna, Mohit Iyyer:
Syntactically Supervised Transformers for Faster Neural Machine Translation. ACL (1) 2019: 1269-1281 - [c23]Kalpesh Krishna, Mohit Iyyer:
Generating Question-Answer Hierarchies. ACL (1) 2019: 2321-2334 - [c22]Tu Vu, Mohit Iyyer:
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification. ACL (1) 2019: 6331-6338 - [c21]Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer:
Attentive History Selection for Conversational Question Answering. CIKM 2019: 1391-1400 - [c20]Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, Andrew McCallum:
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders. EMNLP/IJCNLP (1) 2019: 1507-1512 - [c19]Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom II, Brendan O'Connor, Mohit Iyyer:
Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts. EMNLP/IJCNLP (1) 2019: 6354-6360 - [c18]Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum:
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders. NAACL-HLT (1) 2019: 1129-1141 - [c17]Shufan Wang, Mohit Iyyer:
Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism. NAACL-HLT (1) 2019: 1291-1297 - [c16]Chen Qu, Liu Yang, Minghui Qiu, W. Bruce Croft, Yongfeng Zhang, Mohit Iyyer:
BERT with History Answer Embedding for Conversational Question Answering. SIGIR 2019: 1133-1136 - [i19]Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum:
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders. CoRR abs/1904.02142 (2019) - [i18]Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, Jordan L. Boyd-Graber:
Quizbowl: The Case for Incremental Question Answering. CoRR abs/1904.04792 (2019) - [i17]Shufan Wang, Mohit Iyyer:
Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism. CoRR abs/1904.08386 (2019) - [i16]Chen Qu, Liu Yang, Minghui Qiu, W. Bruce Croft, Yongfeng Zhang, Mohit Iyyer:
BERT with History Answer Embedding for Conversational Question Answering. CoRR abs/1905.05412 (2019) - [i15]Kalpesh Krishna, Mohit Iyyer:
Generating Question-Answer Hierarchies. CoRR abs/1906.02622 (2019) - [i14]Nader Akoury, Kalpesh Krishna, Mohit Iyyer:
Syntactically Supervised Transformers for Faster Neural Machine Translation. CoRR abs/1906.02780 (2019) - [i13]Tu Vu, Mohit Iyyer:
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification. CoRR abs/1906.03656 (2019) - [i12]Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer:
Attentive History Selection for Conversational Question Answering. CoRR abs/1908.09456 (2019) - [i11]Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom II, Brendan O'Connor, Mohit Iyyer:
Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts. CoRR abs/1909.03343 (2019) - [i10]Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer:
Thieves on Sesame Street! Model Extraction of BERT-based APIs. CoRR abs/1910.12366 (2019) - 2018
- [c15]Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC: Question Answering in Context. EMNLP 2018: 2174-2184 - [c14]Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez, Jordan L. Boyd-Graber:
Pathologies of Neural Models Make Interpretation Difficult. EMNLP 2018: 3719-3728 - [c13]Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer:
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification. EMNLP 2018: 4743-4751 - [c12]Varun Manjunatha, Mohit Iyyer, Jordan L. Boyd-Graber, Larry S. Davis:
Learning to Color from Language. NAACL-HLT (2) 2018: 764-769 - [c11]Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer:
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. NAACL-HLT 2018: 1875-1885 - [c10]Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer:
Deep Contextualized Word Representations. NAACL-HLT 2018: 2227-2237 - [i9]Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer:
Deep contextualized word representations. CoRR abs/1802.05365 (2018) - [i8]Varun Manjunatha, Mohit Iyyer, Jordan L. Boyd-Graber, Larry S. Davis:
Learning to Color from Language. CoRR abs/1804.06026 (2018) - [i7]Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer:
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. CoRR abs/1804.06059 (2018) - [i6]Shi Feng, Eric Wallace, Mohit Iyyer, Pedro Rodriguez, Alvin Grissom II, Jordan L. Boyd-Graber:
Right Answer for the Wrong Reason: Discovery and Mitigation. CoRR abs/1804.07781 (2018) - [i5]Fenfei Guo, Mohit Iyyer, Jordan L. Boyd-Graber:
Inducing and Embedding Senses with Scaled Gumbel Softmax. CoRR abs/1804.08077 (2018) - [i4]Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC : Question Answering in Context. CoRR abs/1808.07036 (2018) - [i3]Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer:
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification. CoRR abs/1808.07733 (2018) - 2017
- [b1]Mohit Iyyer:
Discourse-Level Language Understanding with Deep Learning. University of Maryland, College Park, MD, USA, 2017 - [c9]Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé III:
Unsupervised Learning of Evolving Relationships Between Literary Characters. AAAI 2017: 3159-3165 - [c8]Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang:
Search-based Neural Structured Learning for Sequential Question Answering. ACL (1) 2017: 1821-1831 - [c7]Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis:
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. CVPR 2017: 6478-6487 - 2016
- [c6]Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher:
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. ICML 2016: 1378-1387 - [c5]Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan L. Boyd-Graber, Hal Daumé III:
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships. HLT-NAACL 2016: 1534-1544 - [i2]Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang:
Answering Complicated Question Intents Expressed in Decomposed Question Sequences. CoRR abs/1611.01242 (2016) - [i1]Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis:
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. CoRR abs/1611.05118 (2016) - 2015
- [c4]Mohit Iyyer, Varun Manjunatha, Jordan L. Boyd-Graber, Hal Daumé III:
Deep Unordered Composition Rivals Syntactic Methods for Text Classification. ACL (1) 2015: 1681-1691 - [c3]Anupam Guha, Mohit Iyyer, Danny Bouman, Jordan L. Boyd-Graber:
Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers. HLT-NAACL 2015: 1108-1118 - 2014
- [c2]Mohit Iyyer, Peter Enns, Jordan L. Boyd-Graber, Philip Resnik:
Political Ideology Detection Using Recursive Neural Networks. ACL (1) 2014: 1113-1122 - [c1]Mohit Iyyer, Jordan L. Boyd-Graber, Leonardo Max Batista Claudino, Richard Socher, Hal Daumé III:
A Neural Network for Factoid Question Answering over Paragraphs. EMNLP 2014: 633-644
Coauthor Index
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