文件夹: Papers/LLM--and--VLM/Evaluation--and--Analysis

2026年5月

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models

2026年5月

On Predicting the Post-training Potential of Pre-trained LLMs

2026年4月

Image Generators are Generalist Vision Learners

2026年3月

Attend Before Attention - Efficient and Scalable Video Understanding via Autoregressive Gazing

2026年3月

Do Understanding and Generation Fight? A Diagnostic Study of DPO for Unified Multimodal Models

2026年3月

RIVER: A Real-Time Interaction Benchmark for Video LLMs

2026年3月

UniG2U-Bench: Do Unified Models Advance Multimodal Understanding?

2026年2月

Going Down Memory Lane: Scaling Tokens for Video Stream Understanding with Dynamic KV-Cache Memory

2026年2月

Quantifying the Gap between Understanding and Generation within Unified Multimodal Models

2025年12月

ThinkGen: Generalized Thinking for Visual Generation

2025年12月

V-Rex: Real-Time Streaming Video LLM Acceleration via Dynamic KV Cache Retrieval

2025年11月

StreamKV: Streaming Video Question-Answering with Segment-based KV Cache Retrieval and Compression

2025年9月

RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark

2025年9月

Video Panels for Long Video Understanding

2025年8月

E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented Generation

2025年6月

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

2025年6月

UNIVERSE: Adapting Vision-Language Models for Evaluating World Models

2025年6月

What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities

2025年6月

τ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment

2025年5月

LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval

2025年5月

LLMs Get Lost In Multi-Turn Conversation

2025年5月

RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs

2025年3月

Mobile-VideoGPT: Fast and Accurate Model for Mobile Video Understanding

2025年3月

Streaming Video Question-Answering with In-context Video KV-Cache Retrieval

2024年5月

Paper Notes

探索

文件夹: Papers/LLM--and--VLM/Evaluation--and--Analysis

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models

On Predicting the Post-training Potential of Pre-trained LLMs

Image Generators are Generalist Vision Learners

Attend Before Attention - Efficient and Scalable Video Understanding via Autoregressive Gazing

Do Understanding and Generation Fight? A Diagnostic Study of DPO for Unified Multimodal Models

RIVER: A Real-Time Interaction Benchmark for Video LLMs

UniG2U-Bench: Do Unified Models Advance Multimodal Understanding?

Going Down Memory Lane: Scaling Tokens for Video Stream Understanding with Dynamic KV-Cache Memory

Quantifying the Gap between Understanding and Generation within Unified Multimodal Models

ThinkGen: Generalized Thinking for Visual Generation

V-Rex: Real-Time Streaming Video LLM Acceleration via Dynamic KV Cache Retrieval

StreamKV: Streaming Video Question-Answering with Segment-based KV Cache Retrieval and Compression

RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark

Video Panels for Long Video Understanding

E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented Generation

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

UNIVERSE: Adapting Vision-Language Models for Evaluating World Models

What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities

τ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment

LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval

LLMs Get Lost In Multi-Turn Conversation

RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs

Mobile-VideoGPT: Fast and Accurate Model for Mobile Video Understanding

Streaming Video Question-Answering with In-context Video KV-Cache Retrieval

Is Your Video Language Model a Reliable Judge?