WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning Paper • 2411.02337 • Published Nov 4, 2024 • 38
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models Paper • 2411.04996 • Published Nov 7, 2024 • 52
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level Paper • 2411.03562 • Published Nov 5, 2024 • 68
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization Paper • 2410.08815 • Published Oct 11, 2024 • 50
Game-theoretic LLM: Agent Workflow for Negotiation Games Paper • 2411.05990 • Published Nov 8, 2024 • 8
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices Paper • 2411.10640 • Published Nov 16, 2024 • 47
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs Paper • 2411.19146 • Published Nov 28, 2024 • 17
EXAONE 3.5: Series of Large Language Models for Real-world Use Cases Paper • 2412.04862 • Published Dec 6, 2024 • 51
Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability Paper • 2411.19943 • Published Nov 29, 2024 • 63
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation Paper • 2412.02592 • Published Dec 3, 2024 • 22
RL Zero: Zero-Shot Language to Behaviors without any Supervision Paper • 2412.05718 • Published Dec 7, 2024 • 5
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation Paper • 2412.10704 • Published Dec 14, 2024 • 15
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment Paper • 2412.13746 • Published Dec 18, 2024 • 9
Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture Paper • 2412.11834 • Published Dec 16, 2024 • 8
Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents Paper • 2412.13194 • Published Dec 17, 2024 • 12
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing Paper • 2412.14711 • Published Dec 19, 2024 • 16
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning Paper • 2412.15797 • Published Dec 20, 2024 • 18
Progressive Multimodal Reasoning via Active Retrieval Paper • 2412.14835 • Published Dec 19, 2024 • 74
MixLLM: LLM Quantization with Global Mixed-precision between Output-features and Highly-efficient System Design Paper • 2412.14590 • Published Dec 19, 2024 • 14
ericsonwillians/distilbert-base-uncased-steam-sentiment Text Classification • Updated Dec 12, 2024 • 70
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search Paper • 2412.18319 • Published Dec 24, 2024 • 40
Personalized Graph-Based Retrieval for Large Language Models Paper • 2501.02157 • Published Jan 4 • 32
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs Paper • 2412.18925 • Published Dec 25, 2024 • 101
Multi-task retriever fine-tuning for domain-specific and efficient RAG Paper • 2501.04652 • Published Jan 8 • 10
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation Paper • 2501.02576 • Published Jan 5 • 15
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models Paper • 2501.03262 • Published Jan 4 • 99
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning Paper • 2501.03226 • Published Jan 6 • 45
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Paper • 2501.09686 • Published Jan 16 • 40
RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation Paper • 2501.08617 • Published Jan 15 • 10
The Lessons of Developing Process Reward Models in Mathematical Reasoning Paper • 2501.07301 • Published Jan 13 • 99
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning Paper • 2501.06590 • Published Jan 11 • 11
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings Paper • 2501.01257 • Published Jan 2 • 53
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback Paper • 2501.10799 • Published Jan 18 • 15
Control LLM: Controlled Evolution for Intelligence Retention in LLM Paper • 2501.10979 • Published Jan 19 • 6
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective Paper • 2501.11110 • Published Jan 19 • 3
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning Paper • 2412.09078 • Published Dec 12, 2024
LLM2: Let Large Language Models Harness System 2 Reasoning Paper • 2412.20372 • Published Dec 29, 2024
TinyThinker: Distilling Reasoning through Coarse-to-Fine Knowledge Internalization with Self-Reflection Paper • 2412.08024 • Published Dec 11, 2024 • 1
Table as Thought: Exploring Structured Thoughts in LLM Reasoning Paper • 2501.02152 • Published Jan 4
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning Paper • 2501.12948 • Published Jan 22 • 382
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models Paper • 2501.18119 • Published Jan 30 • 25
Preference Leakage: A Contamination Problem in LLM-as-a-judge Paper • 2502.01534 • Published Feb 3 • 40
The Differences Between Direct Alignment Algorithms are a Blur Paper • 2502.01237 • Published Feb 3 • 115
The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles Paper • 2502.01081 • Published Feb 3 • 14
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging Paper • 2502.05664 • Published Feb 8 • 23
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning Paper • 2502.06060 • Published Feb 9 • 37
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning Paper • 2502.06781 • Published Feb 10 • 61
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling Paper • 2502.06703 • Published Feb 10 • 150
CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference Paper • 2502.04416 • Published Feb 6 • 12
CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models Paper • 2502.16614 • Published Feb 23 • 26
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? Paper • 2502.19361 • Published Feb 26 • 28
STMA: A Spatio-Temporal Memory Agent for Long-Horizon Embodied Task Planning Paper • 2502.10177 • Published Feb 14 • 6
Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving Paper • 2502.07640 • Published Feb 11 • 8
Learning from Failures in Multi-Attempt Reinforcement Learning Paper • 2503.04808 • Published Mar 4 • 17
Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation Paper • 2503.16430 • Published 29 days ago • 34
MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving Paper • 2503.16905 • Published 29 days ago • 53
Improving Autoregressive Image Generation through Coarse-to-Fine Token Prediction Paper • 2503.16194 • Published 30 days ago • 8
ELTEX: A Framework for Domain-Driven Synthetic Data Generation Paper • 2503.15055 • Published about 1 month ago • 6
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't Paper • 2503.16219 • Published 30 days ago • 46
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners Paper • 2503.16356 • Published 30 days ago • 15
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning Paper • 2503.15265 • Published about 1 month ago • 45
DAPO: An Open-Source LLM Reinforcement Learning System at Scale Paper • 2503.14476 • Published Mar 18 • 119
Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling Paper • 2501.11651 • Published Jan 20 • 1
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization Paper • 2503.12937 • Published Mar 17 • 27
Self-Evolved Preference Optimization for Enhancing Mathematical Reasoning in Small Language Models Paper • 2503.04813 • Published Mar 4
Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning Paper • 2502.14356 • Published Feb 20
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search Paper • 2502.02508 • Published Feb 4 • 23
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training Paper • 2503.08525 • Published Mar 11 • 15
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing Paper • 2503.10639 • Published Mar 13 • 48
Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking Paper • 2503.19855 • Published 25 days ago • 25
A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods Paper • 2502.01618 • Published Feb 3 • 10
MiniMax-01: Scaling Foundation Models with Lightning Attention Paper • 2501.08313 • Published Jan 14 • 286
ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Paper • 2501.15570 • Published Jan 26 • 25
Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization Paper • 2502.04295 • Published Feb 6 • 13
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations Paper • 2504.00824 • Published 18 days ago • 38
ZClip: Adaptive Spike Mitigation for LLM Pre-Training Paper • 2504.02507 • Published 16 days ago • 76
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention Paper • 2504.06261 • Published 10 days ago • 101
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Paper • 2504.05118 • Published 12 days ago • 24
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning Paper • 2504.07128 • Published 17 days ago • 79
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning Paper • 2504.08600 • Published 8 days ago • 24
APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay Paper • 2504.03601 • Published 15 days ago • 15
GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation Paper • 2504.08736 • Published 7 days ago • 44
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce Paper • 2504.11343 • Published 4 days ago • 9
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models Paper • 2502.01142 • Published Feb 3 • 24