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Collections including paper arxiv:2509.17437

LIMI: Less is More for Agency

Paper • 2509.17567 • Published Sep 22, 2025 • 104
Qwen3-Omni Technical Report

Paper • 2509.17765 • Published Sep 22, 2025 • 153
GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning

Paper • 2509.17437 • Published Sep 22, 2025 • 17
EpiCache: Episodic KV Cache Management for Long Conversational Question Answering

Paper • 2509.17396 • Published Sep 22, 2025 • 19

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

Paper • 2508.09789 • Published Aug 13, 2025 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14, 2025 • 20
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6, 2025 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19, 2025 • 48

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 30
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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

Multimodal Benchmarks

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

Paper • 2407.07053 • Published Jul 9, 2024 • 47
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Paper • 2407.12772 • Published Jul 17, 2024 • 35
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Paper • 2407.11691 • Published Jul 16, 2024 • 16
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Paper • 2408.02718 • Published Aug 5, 2024 • 62

LIMI: Less is More for Agency

Paper • 2509.17567 • Published Sep 22, 2025 • 104
Qwen3-Omni Technical Report

Paper • 2509.17765 • Published Sep 22, 2025 • 153
GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning

Paper • 2509.17437 • Published Sep 22, 2025 • 17
EpiCache: Episodic KV Cache Management for Long Conversational Question Answering

Paper • 2509.17396 • Published Sep 22, 2025 • 19

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

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

Paper • 2508.09789 • Published Aug 13, 2025 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14, 2025 • 20
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6, 2025 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19, 2025 • 48

Multimodal Benchmarks

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

Paper • 2407.07053 • Published Jul 9, 2024 • 47
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Paper • 2407.12772 • Published Jul 17, 2024 • 35
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Paper • 2407.11691 • Published Jul 16, 2024 • 16
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Paper • 2408.02718 • Published Aug 5, 2024 • 62

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 30
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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