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Collections including paper arxiv:2509.00244

Papers, datasets and models on deep research agents

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents

Paper • 2509.06283 • Published Sep 8 • 17
Alibaba-NLP/Tongyi-DeepResearch-30B-A3B

Text Generation • 31B • Updated Oct 10 • 13.4k • 778
DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents

Paper • 2506.11763 • Published Jun 13 • 72
Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 70

Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated

Paper • 2509.05739 • Published Sep 6 • 2
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers

Paper • 2509.03059 • Published Sep 3 • 24
Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13
<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs

Paper • 2509.08358 • Published Sep 10 • 13

LM Agent Frameworks and Approaches

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Paper • 2509.02479 • Published Sep 2 • 83
POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion

Paper • 2509.01215 • Published Sep 1 • 50
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model

Paper • 2509.00676 • Published Aug 31 • 84

about 13 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 529 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

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

Paper • 2505.17667 • Published May 23 • 88

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13

Large Language Models

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation

Paper • 2510.00515 • Published Oct 1 • 39
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29 • 139

Agents deep research

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13

Provable Benefits of In-Tool Learning for Large Language Models

Paper • 2508.20755 • Published Aug 28 • 11
Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2, 2024 • 28
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 43
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27, 2024 • 54
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29, 2024 • 12

Papers, datasets and models on deep research agents

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents

Paper • 2509.06283 • Published Sep 8 • 17
Alibaba-NLP/Tongyi-DeepResearch-30B-A3B

Text Generation • 31B • Updated Oct 10 • 13.4k • 778
DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents

Paper • 2506.11763 • Published Jun 13 • 72
Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 70

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13

Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated

Paper • 2509.05739 • Published Sep 6 • 2
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers

Paper • 2509.03059 • Published Sep 3 • 24
Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13
<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs

Paper • 2509.08358 • Published Sep 10 • 13

Large Language Models

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation

Paper • 2510.00515 • Published Oct 1 • 39
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29 • 139

LM Agent Frameworks and Approaches

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13

Agents deep research

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Paper • 2509.02479 • Published Sep 2 • 83
POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion

Paper • 2509.01215 • Published Sep 1 • 50
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model

Paper • 2509.00676 • Published Aug 31 • 84

Provable Benefits of In-Tool Learning for Large Language Models

Paper • 2508.20755 • Published Aug 28 • 11
Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29 • 13

about 13 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 529 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

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

Paper • 2505.17667 • Published May 23 • 88

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2, 2024 • 28
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 43
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27, 2024 • 54
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29, 2024 • 12

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