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TitleStatusHype
On the Reasoning Capacity of AI Models and How to Quantify It—0
The AI Penalization Effect: People Reduce Compensation for Workers Who Use AI—0
Patent Figure Classification using Large Vision-language ModelsCode0
Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction—0
MedS^3: Towards Medical Small Language Models with Self-Evolved Slow ThinkingCode2
Can Multimodal LLMs do Visual Temporal Understanding and Reasoning? The answer is No!—0
FaceXBench: Evaluating Multimodal LLMs on Face UnderstandingCode1
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong—0
Vision-Language Models Do Not Understand Negation—0
Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework—0
Towards Multilingual LLM Evaluation for Baltic and Nordic languages: A study on Lithuanian History—0
ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of MindCode1
Rethinking AI Cultural Alignment—0
Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation—0
ZNO-Eval: Benchmarking reasoning capabilities of large language models in UkrainianCode1
First Token Probability Guided RAG for Telecom Question Answering—0
Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language UnderstandingCode0
Affordably Fine-tuned LLMs Provide Better Answers to Course-specific MCQsCode0
Knowledge Retrieval Based on Generative AI—0
DRIVINGVQA: Analyzing Visual Chain-of-Thought Reasoning of Vision Language Models in Real-World Scenarios with Driving Theory Tests—0
Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States—0
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model EvaluationCode1
(WhyPHI) Fine-Tuning PHI-3 for Multiple-Choice Question Answering: Methodology, Results, and ChallengesCode0
CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question Answering—0
Unifying Specialized Visual Encoders for Video Language ModelsCode1
Enhancing Video-LLM Reasoning via Agent-of-Thoughts Distillation—0
Q-Bench-Video: Benchmark the Video Quality Understanding of LMMs—0
Separation of Powers: On Segregating Knowledge from Observation in LLM-enabled Knowledge-based Visual Question Answering—0
FSBench: A Figure Skating Benchmark for Advancing Artistic Sports UnderstandingCode0
IllusionBench: A Large-scale and Comprehensive Benchmark for Visual Illusion Understanding in Vision-Language Models—0
EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta—0
A review of faithfulness metrics for hallucination assessment in Large Language Models—0
Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation—0
AraSTEM: A Native Arabic Multiple Choice Question Benchmark for Evaluating LLMs Knowledge In STEM Subjects—0
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation ModelsCode0
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs—0
SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity—0
HindiLLM: Large Language Model for Hindi—0
Using Large Language Models for Automated Grading of Student Writing about Science—0
In Case You Missed It: ARC 'Challenge' Is Not That Challenging—0
MMLU-CF: A Contamination-free Multi-task Language Understanding BenchmarkCode2
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksCode5
Are You Doubtful? Oh, It Might Be Difficult Then! Exploring the Use of Model Uncertainty for Question Difficulty Estimation—0
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding—0
Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL)—0
Seeing the Forest and the Trees: Solving Visual Graph and Tree Based Data Structure Problems using Large Multimodal Models—0
MedG-KRP: Medical Graph Knowledge Representation ProbingCode0
Do LLMs Act as Repositories of Causal Knowledge?—0
A recent evaluation on the performance of LLMs on radiation oncology physics using questions of randomly shuffled options—0
Superhuman performance of a large language model on the reasoning tasks of a physician—0
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