Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon
Paper
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2502.07445
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Published
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11
Model Evaluation
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ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning
Paper • 2502.04689 • Published • 7 -
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
Paper • 2502.03032 • Published • 58 -
Preference Leakage: A Contamination Problem in LLM-as-a-judge
Paper • 2502.01534 • Published • 39 -
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models
Paper • 2502.01639 • Published • 25 -
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
Paper • 2502.09621 • Published • 27 -
Logical Reasoning in Large Language Models: A Survey
Paper • 2502.09100 • Published • 22 -
IHEval: Evaluating Language Models on Following the Instruction Hierarchy
Paper • 2502.08745 • Published • 18 -
InductionBench: LLMs Fail in the Simplest Complexity Class
Paper • 2502.15823 • Published • 6 -
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
Paper • 2503.04504 • Published • 2 -
Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders
Paper • 2503.03601 • Published • 212 -
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 • 34 -
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Paper • 2503.12605 • Published • 24