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Collections including paper arxiv:2509.25454

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models

Paper • 2410.14059 • Published Oct 17, 2024 • 63
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published Mar 7, 2025 • 46
Token-Efficient Long Video Understanding for Multimodal LLMs

Paper • 2503.04130 • Published Mar 6, 2025 • 96
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

Paper • 2503.10639 • Published Mar 13, 2025 • 53

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 513
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

Paper • 2509.25541 • Published Sep 29, 2025 • 142
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148

What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT

Paper • 2509.19284 • Published Sep 23, 2025 • 23
Soft Tokens, Hard Truths

Paper • 2509.19170 • Published Sep 23, 2025 • 16
CompLLM: Compression for Long Context Q&A

Paper • 2509.19228 • Published Sep 23, 2025 • 10
Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet

Paper • 2509.06861 • Published Sep 8, 2025 • 9

Large Language Models

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29, 2025 • 14
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation

Paper • 2510.00515 • Published Oct 1, 2025 • 42
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 196 • 99
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 39
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

Guided Self-Evolving LLMs with Minimal Human Supervision

Paper • 2512.02472 • Published Dec 2, 2025 • 55
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148
Video Reasoning without Training

Paper • 2510.17045 • Published Oct 19, 2025 • 8
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30, 2025 • 72
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3, 2025 • 23
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3, 2025 • 24
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31, 2025 • 5

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models

Paper • 2508.09834 • Published Aug 13, 2025 • 53
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148
DeMo: Decoupled Momentum Optimization

Paper • 2411.19870 • Published Nov 29, 2024 • 6

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27, 2025 • 31
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 146
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18, 2025 • 141
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21, 2025 • 88

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models

Paper • 2410.14059 • Published Oct 17, 2024 • 63
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published Mar 7, 2025 • 46
Token-Efficient Long Video Understanding for Multimodal LLMs

Paper • 2503.04130 • Published Mar 6, 2025 • 96
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

Paper • 2503.10639 • Published Mar 13, 2025 • 53

Guided Self-Evolving LLMs with Minimal Human Supervision

Paper • 2512.02472 • Published Dec 2, 2025 • 55
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148
Video Reasoning without Training

Paper • 2510.17045 • Published Oct 19, 2025 • 8
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 513
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

Paper • 2509.25541 • Published Sep 29, 2025 • 142
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148

What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT

Paper • 2509.19284 • Published Sep 23, 2025 • 23
Soft Tokens, Hard Truths

Paper • 2509.19170 • Published Sep 23, 2025 • 16
CompLLM: Compression for Long Context Q&A

Paper • 2509.19228 • Published Sep 23, 2025 • 10
Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet

Paper • 2509.06861 • Published Sep 8, 2025 • 9

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30, 2025 • 72
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3, 2025 • 23
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3, 2025 • 24
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31, 2025 • 5

Large Language Models

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29, 2025 • 14
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation

Paper • 2510.00515 • Published Oct 1, 2025 • 42
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models

Paper • 2508.09834 • Published Aug 13, 2025 • 53
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148
DeMo: Decoupled Momentum Optimization

Paper • 2411.19870 • Published Nov 29, 2024 • 6

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 196 • 99
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 39
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27, 2025 • 31
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 146
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18, 2025 • 141
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21, 2025 • 88

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