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TitleStatusHype
IdentifyMe: A Challenging Long-Context Mention Resolution Benchmark for LLMsCode0
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing Agents—0
Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability—0
Humans and Large Language Models in Clinical Decision Support: A Study with Medical Calculators—0
Quantitative Assessment of Intersectional Empathetic Bias and UnderstandingCode0
ProverbEval: Exploring LLM Evaluation Challenges for Low-resource Language Understanding—0
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees—0
Enhancing LLM Evaluations: The Garbling Trick—0
Benchmarking Bias in Large Language Models during Role-Playing—0
R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest—0
GPT-4o System Card—0
Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in Healthcare—0
Large Language Models Still Exhibit Bias in Long Text—0
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks—0
How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?Code0
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the U.S—0
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models—0
LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs—0
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison FeedbackCode0
CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy—0
LAR-ECHR: A New Legal Argument Reasoning Task and Dataset for Cases of the European Court of Human Rights—0
Evaluating the Instruction-following Abilities of Language Models using Knowledge TasksCode0
Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answersCode0
Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMsCode0
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing—0
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