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Collections including paper arxiv:2509.15591

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 69
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 22
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

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 254 • 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

Representation Learning

End-to-End Vision Tokenizer Tuning

Paper • 2505.10562 • Published May 15 • 22
Global and Local Entailment Learning for Natural World Imagery

Paper • 2506.21476 • Published Jun 26 • 1
DINOv3

Paper • 2508.10104 • Published Aug 13 • 284
Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic

Paper • 2509.01363 • Published Sep 1 • 58

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

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

Partial layer training LLMs

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)

Paper • 2309.08968 • Published Sep 16, 2023 • 23
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning

Paper • 2505.20355 • Published May 26 • 36
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

Paper • 2505.22618 • Published May 28 • 44
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Paper • 2509.15591 • Published Sep 19 • 45

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 69
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 22
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

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

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 254 • 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

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 Learning

End-to-End Vision Tokenizer Tuning

Paper • 2505.10562 • Published May 15 • 22
Global and Local Entailment Learning for Natural World Imagery

Paper • 2506.21476 • Published Jun 26 • 1
DINOv3

Paper • 2508.10104 • Published Aug 13 • 284
Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic

Paper • 2509.01363 • Published Sep 1 • 58

Partial layer training LLMs

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)

Paper • 2309.08968 • Published Sep 16, 2023 • 23
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning

Paper • 2505.20355 • Published May 26 • 36
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

Paper • 2505.22618 • Published May 28 • 44
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Paper • 2509.15591 • Published Sep 19 • 45

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