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TitleStatusHype
Unsupervised Commonsense Question Answering with Self-TalkCode1
R2DE: a NLP approach to estimating IRT parameters of newly generated questionsCode1
WIQA: A dataset for "What if..." reasoning over procedural textCode1
CommonsenseQA: A Question Answering Challenge Targeting Commonsense KnowledgeCode1
Generating Distractors for Reading Comprehension Questions from Real ExaminationsCode1
Constructing Narrative Event Evolutionary Graph for Script Event PredictionCode1
VQA: Visual Question AnsweringCode1
The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations—0
HATS: Hindi Analogy Test Set for Evaluating Reasoning in Large Language Models—0
MateInfoUB: A Real-World Benchmark for Testing LLMs in Competitive, Multilingual, and Multimodal Educational Tasks—0
Advanced Financial Reasoning at Scale: A Comprehensive Evaluation of Large Language Models on CFA Level III—0
OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs—0
Adapting Vision-Language Models for Evaluating World Models—0
PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models—0
How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering?—0
WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts—0
Hypothesis Testing for Quantifying LLM-Human Misalignment in Multiple Choice Settings—0
Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation Understanding—0
Training-free LLM Merging for Multi-task LearningCode0
Instruction Tuning and CoT Prompting for Contextual Medical QA with LLMs—0
Different Questions, Different Models: Fine-Grained Evaluation of Uncertainty and Calibration in Clinical QA with LLMs—0
A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs—0
VersaVid-R1: A Versatile Video Understanding and Reasoning Model from Question Answering to Captioning Tasks—0
ARGUS: Hallucination and Omission Evaluation in Video-LLMs—0
Evaluating LLM-corrupted Crowdsourcing Data Without Ground Truth—0
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