Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon
Paper • 2502.07445 • Published • 11
Model Evaluation
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ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning
Paper • 2502.04689 • Published • 8 -
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
Paper • 2502.03032 • Published • 60 -
Preference Leakage: A Contamination Problem in LLM-as-a-judge
Paper • 2502.01534 • Published • 40 -
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models
Paper • 2502.01639 • Published • 26 -
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
Paper • 2502.09621 • Published • 28 -
Logical Reasoning in Large Language Models: A Survey
Paper • 2502.09100 • Published • 24 -
IHEval: Evaluating Language Models on Following the Instruction Hierarchy
Paper • 2502.08745 • Published • 20 -
InductionBench: LLMs Fail in the Simplest Complexity Class
Paper • 2502.15823 • Published • 7 -
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
Paper • 2503.04504 • Published • 5 -
Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders
Paper • 2503.03601 • Published • 233 -
Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence
Paper • 2503.05037 • Published • 4 -
SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?
Paper • 2503.12349 • Published • 44 -
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Paper • 2503.12605 • Published • 35 -
VERIFY: A Benchmark of Visual Explanation and Reasoning for Investigating Multimodal Reasoning Fidelity
Paper • 2503.11557 • Published • 22 -
CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era
Paper • 2503.12329 • Published • 27 -
Where do Large Vision-Language Models Look at when Answering Questions?
Paper • 2503.13891 • Published • 8 -
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
Paper • 2503.18878 • Published • 120 -
MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning
Paper • 2506.05523 • Published • 34 -
JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent
Paper • 2506.17612 • Published • 65 -
Where to find Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test
Paper • 2506.21551 • Published • 28 -
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study
Paper • 2506.19794 • Published • 8 -
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
Paper • 2506.21876 • Published • 28 -
Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models
Paper • 2507.07484 • Published • 18 -
Hidden in plain sight: VLMs overlook their visual representations
Paper • 2506.08008 • Published • 7 -
"PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models
Paper • 2507.13428 • Published • 16 -
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
Paper • 2507.12806 • Published • 21 -
Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding
Paper • 2507.15028 • Published • 21 -
Pixels, Patterns, but No Poetry: To See The World like Humans
Paper • 2507.16863 • Published • 69 -
AgroBench: Vision-Language Model Benchmark in Agriculture
Paper • 2507.20519 • Published • 8 -
Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?
Paper • 2508.03644 • Published • 25 -
PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts
Paper • 2508.09848 • Published • 71 -
A Survey on Large Language Model Benchmarks
Paper • 2508.15361 • Published • 19 -
DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks
Paper • 2509.01396 • Published • 58 -
On Robustness and Reliability of Benchmark-Based Evaluation of LLMs
Paper • 2509.04013 • Published • 4 -
MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval
Paper • 2510.09510 • Published • 8 -
MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models
Paper • 2510.16641 • Published • 5 -
Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark
Paper • 2510.26802 • Published • 34 -
Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks
Paper • 2510.25760 • Published • 17 -
UniREditBench: A Unified Reasoning-based Image Editing Benchmark
Paper • 2511.01295 • Published • 39 -
SO-Bench: A Structural Output Evaluation of Multimodal LLMs
Paper • 2511.21750 • Published • 6 -
RULER-Bench: Probing Rule-based Reasoning Abilities of Next-level Video Generation Models for Vision Foundation Intelligence
Paper • 2512.02622 • Published • 10 -
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
Paper • 2512.04324 • Published • 159 -
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
Paper • 2602.02185 • Published • 117 -
LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces
Paper • 2602.14337 • Published • 14 -
How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
Paper • 2603.02578 • Published • 25