SOTAVerified

Multiple-choice

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–400 of 1107 papers

TitleStatusHype
CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models—0
Fùxì: A Benchmark for Evaluating Language Models on Ancient Chinese Text Understanding and GenerationCode0
AutoDrive-QA- Automated Generation of Multiple-Choice Questions for Autonomous Driving Datasets Using Large Vision-Language Models—0
FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding—0
VisNumBench: Evaluating Number Sense of Multimodal Large Language Models—0
How much do LLMs learn from negative examples?Code0
LEAVS: An LLM-based Labeler for Abdominal CT SupervisionCode0
Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data—0
The Impact of Item-Writing Flaws on Difficulty and Discrimination in Item Response Theory—0
It is Too Many Options: Pitfalls of Multiple-Choice Questions in Generative AI and Medical Education—0
SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAMCode0
Identity Lock: Locking API Fine-tuned LLMs With Identity-based Wake Words—0
VisBias: Measuring Explicit and Implicit Social Biases in Vision Language ModelsCode0
Social Bias Benchmark for Generation: A Comparison of Generation and QA-Based Evaluations—0
UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces—0
Towards Conversational AI for Disease Management—0
SCoRE: Benchmarking Long-Chain Reasoning in Commonsense ScenariosCode0
This Is Your Doge, If It Please You: Exploring Deception and Robustness in Mixture of LLMsCode0
Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework—0
Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of AbstractionCode0
The impact of AI and peer feedback on research writing skills: a study using the CGScholar platform among Kazakhstani scholars—0
Structured Outputs Enable General-Purpose LLMs to be Medical Experts—0
When an LLM is apprehensive about its answers -- and when its uncertainty is justifiedCode0
None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering—0
MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts—0
Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning—0
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research AssistantsCode0
ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions—0
SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models—0
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions—0
WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More ChallengingCode0
DeepSeek-R1 Outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in Bilingual Complex Ophthalmology Reasoning—0
The Lazy Student's Dream: ChatGPT Passing an Engineering Course on Its Own—0
Wrong Answers Can Also Be Useful: PlausibleQA -- A Large-Scale QA Dataset with Answer Plausibility ScoresCode0
Moving Beyond Medical Exam Questions: A Clinician-Annotated Dataset of Real-World Tasks and Ambiguity in Mental HealthcareCode0
LegalBench.PT: A Benchmark for Portuguese Law—0
MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models—0
Do LLMs Make Mistakes Like Students? Exploring Natural Alignment between Language Models and Human Error Patterns—0
Unveiling Cultural Blind Spots: Analyzing the Limitations of mLLMs in Procedural Text Comprehension—0
Fundamental Limitations in Defending LLM Finetuning APIs—0
MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels—0
VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare—0
Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above—0
Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh—0
Is This Collection Worth My LLM's Time? Automatically Measuring Information Potential in Text Corpora—0
Towards Geo-Culturally Grounded LLM Generations—0
OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities—0
None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks—0
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs—0
Multi-Modal Retrieval Augmentation for Open-Ended and Knowledge-Intensive Video Question Answering—0
Show:102550
← PrevPage 8 of 23Next →

No leaderboard results yet.