Models
Datasets
Spaces
Docs
Enterprise
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2509.04419

less than a minute ago

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 18
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

Visual Representation Alignment for Multimodal Large Language Models

Paper • 2509.07979 • Published Sep 9 • 82
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning

Paper • 2509.07980 • Published Sep 9 • 98
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 208
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 189

This collection is a list of papers I find to be very interesting.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 625
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 298
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 306
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 208

Finetuning Strategies

MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge

Paper • 2507.21183 • Published Jul 27 • 14
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Paper • 2507.21802 • Published Jul 29 • 15
EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity

Paper • 2507.21848 • Published Jul 29 • 8
Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156

Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt

Paper • 2505.09264 • Published May 14 • 5
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection

Paper • 2505.09926 • Published May 15 • 6
MatTools: Benchmarking Large Language Models for Materials Science Tools

Paper • 2505.10852 • Published May 16 • 7
Normalized Attention Guidance: Universal Negative Guidance for Diffusion Model

Paper • 2505.21179 • Published May 27 • 13

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 274
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 236
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 257

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 68
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 21
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31 • 4

Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR

Paper • 2509.02522 • Published Sep 2 • 25
Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning

Paper • 2508.20751 • Published Aug 28 • 89
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 218
Towards a Unified View of Large Language Model Post-Training

Paper • 2509.04419 • Published Sep 4 • 73

about 6 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 249 • 96
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

Representation & Optimization

Understanding about representation sheds light on optimization

Nuclear Norm Regularization for Deep Learning

Paper • 2405.14544 • Published May 23, 2024 • 1
Token embeddings violate the manifold hypothesis

Paper • 2504.01002 • Published Apr 1 • 1
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers

Paper • 2403.10476 • Published Mar 15, 2024 • 1
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning

Paper • 2504.00254 • Published Mar 31 • 1

less than a minute ago

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 18
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 274
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 236
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 257

Visual Representation Alignment for Multimodal Large Language Models

Paper • 2509.07979 • Published Sep 9 • 82
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning

Paper • 2509.07980 • Published Sep 9 • 98
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 208
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 189

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 68
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 21
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31 • 4

This collection is a list of papers I find to be very interesting.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 625
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 298
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 306
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 208

Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR

Paper • 2509.02522 • Published Sep 2 • 25
Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning

Paper • 2508.20751 • Published Aug 28 • 89
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 218
Towards a Unified View of Large Language Model Post-Training

Paper • 2509.04419 • Published Sep 4 • 73

Finetuning Strategies

MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge

Paper • 2507.21183 • Published Jul 27 • 14
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Paper • 2507.21802 • Published Jul 29 • 15
EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity

Paper • 2507.21848 • Published Jul 29 • 8
Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156

about 6 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 249 • 96
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

Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt

Paper • 2505.09264 • Published May 14 • 5
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection

Paper • 2505.09926 • Published May 15 • 6
MatTools: Benchmarking Large Language Models for Materials Science Tools

Paper • 2505.10852 • Published May 16 • 7
Normalized Attention Guidance: Universal Negative Guidance for Diffusion Model

Paper • 2505.21179 • Published May 27 • 13

Representation & Optimization

Understanding about representation sheds light on optimization

Nuclear Norm Regularization for Deep Learning

Paper • 2405.14544 • Published May 23, 2024 • 1
Token embeddings violate the manifold hypothesis

Paper • 2504.01002 • Published Apr 1 • 1
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers

Paper • 2403.10476 • Published Mar 15, 2024 • 1
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning

Paper • 2504.00254 • Published Mar 31 • 1

Previous
1
2
Next

Company

TOS Privacy About Jobs

Website

Models Datasets Spaces Pricing Docs