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Showing 326–350 of 1107 papers

TitleStatusHype
LongHalQA: Long-Context Hallucination Evaluation for MultiModal Large Language ModelsCode0
Taming Overconfidence in LLMs: Reward Calibration in RLHFCode1
The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models—0
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language ModelsCode0
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language ModelsCode1
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models—0
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models—0
TVBench: Redesigning Video-Language Evaluation—0
Answering Questions in Stages: Prompt Chaining for Contract QA—0
Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction TuningCode0
ACPBench: Reasoning about Action, Change, and Planning—0
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition—0
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense ReasoningCode0
Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA—0
Video Instruction Tuning With Synthetic Data—0
Introducing Flexible Monotone Multiple Choice Item Response Theory Models and Bit ScalesCode0
MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE FrameworkCode1
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language ModelsCode0
Language Enhanced Model for Eye (LEME): An Open-Source Ophthalmology-Specific Large Language Model—0
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense ReasoningCode1
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling—0
Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs—0
Mitigating Selection Bias with Node Pruning and Auxiliary Options—0
DisGeM: Distractor Generation for Multiple Choice Questions with Span MaskingCode0
DARE: Diverse Visual Question Answering with Robustness Evaluation—0
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