TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks Paper • 2412.14161 • Published 7 days ago • 43
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs Paper • 2410.18451 • Published Oct 24 • 15
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss Paper • 2410.17243 • Published Oct 22 • 89
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio Paper • 2410.12787 • Published Oct 16 • 30
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning Paper • 2410.09754 • Published Oct 13 • 7
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis Paper • 2409.20059 • Published Sep 30 • 15
Course-Correction: Safety Alignment Using Synthetic Preferences Paper • 2407.16637 • Published Jul 23 • 25
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies Paper • 2407.13623 • Published Jul 18 • 53
SnapKV: LLM Knows What You are Looking for Before Generation Paper • 2404.14469 • Published Apr 22 • 23
Chain-of-Verification Reduces Hallucination in Large Language Models Paper • 2309.11495 • Published Sep 20, 2023 • 38
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification Paper • 2308.07921 • Published Aug 15, 2023 • 22