Can large language models explore in-context?
Paper
• 2403.15371 • Published
• 33
LLM
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Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 46 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 37 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 62 -
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues
Paper • 2404.03820 • Published • 25 -
Social Skill Training with Large Language Models
Paper • 2404.04204 • Published • 15 -
Stream of Search (SoS): Learning to Search in Language
Paper • 2404.03683 • Published • 30 -
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 66 -
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 45 -
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model
Paper • 2408.10764 • Published • 9 -
OLMoE: Open Mixture-of-Experts Language Models
Paper • 2409.02060 • Published • 80 -
Attention Heads of Large Language Models: A Survey
Paper • 2409.03752 • Published • 92 -
Building Math Agents with Multi-Turn Iterative Preference Learning
Paper • 2409.02392 • Published • 16 -
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?
Paper • 2409.07703 • Published • 66 -
Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
Paper • 2409.08264 • Published • 48 -
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Paper • 2409.04109 • Published • 48 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 140 -
Agent-as-a-Judge: Evaluate Agents with Agents
Paper • 2410.10934 • Published • 23 -
R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model
Paper • 2503.05132 • Published • 57 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 263