Unable to keep a track of latest LLM Research? 🧠 We made this comprehensive list of Top 10 LLM Papers of the week to help you keep with the advancements. Here’s a list of all the papers we covered: 1️⃣ Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents 🧠✨ 2️⃣ MultiCodeBench: How Well Do LLMs Generate Code for Different Application Domains? Benchmark and Evaluation 3️⃣ Precise Length Control in Large Language Models 4️⃣ PROMO: Prompt Tuning for Item Cold-start Recommendation 🤖 5️⃣ Qwen 2.5 Technical Report 📖 6️⃣ AutoFeedback: Using Generative AI and Multi-Agents to Provide Automatic Feedback 🗃 7️⃣ Robustness-aware Automatic Prompt Optimization 8️⃣ DRUID: A Reality Check on Context Utilisation for Retrieval-Augmented Generation 9️⃣ Alignment Faking in Large Language Models 🛠 1️⃣0️⃣ TheAgentCompany: Benchmarking AI for Real-World Tasks 🚀 Curious to delve deeper into their details and understand their influence on our LLM pipelines? Read the full blog from the first comment 👇
Read the complete blog here: https://hub.athina.ai/blogs/top-10-llm-research-papers-of-the-week/
Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
4dPAE's autonomous skill discovery is intriguing. MultiCodeBench highlights the domain-specificity of code generation. How are you incorporating prompt engineering nuances into your LLM pipeline for robust performance?