Large Language Models Can Self-Improve in Long-context Reasoning Paper • 2411.08147 • Published 18 days ago • 59
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems Paper • 2411.02959 • Published 26 days ago • 64
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation Paper • 2410.23090 • Published Oct 30 • 53
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss Paper • 2410.17243 • Published Oct 22 • 88
HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding Tasks Paper • 2410.12381 • Published Oct 16 • 42
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents Paper • 2410.07484 • Published Oct 9 • 48
Addition is All You Need for Energy-efficient Language Models Paper • 2410.00907 • Published Oct 1 • 144
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models Paper • 2409.16191 • Published Sep 24 • 41
Imagine yourself: Tuning-Free Personalized Image Generation Paper • 2409.13346 • Published Sep 20 • 67
Training Language Models to Self-Correct via Reinforcement Learning Paper • 2409.12917 • Published Sep 19 • 135
PingPong: A Benchmark for Role-Playing Language Models with User Emulation and Multi-Model Evaluation Paper • 2409.06820 • Published Sep 10 • 63
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data Paper • 2409.03810 • Published Sep 5 • 30
Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing Paper • 2409.01322 • Published Sep 2 • 94