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Showing 601–650 of 1107 papers

TitleStatusHype
Narrative Embedding: Re-Contextualization Through Attention—0
VersaVid-R1: A Versatile Video Understanding and Reasoning Model from Question Answering to Captioning Tasks—0
NEMO: Can Multimodal LLMs Identify Attribute-Modified Objects?—0
AgMMU: A Comprehensive Agricultural Multimodal Understanding and Reasoning Benchmark—0
Network-based Representations and Dynamic Discrete Choice Models for Multiple Discrete Choice Analysis—0
WorldQA: Multimodal World Knowledge in Videos through Long-Chain Reasoning—0
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation—0
NEWSKVQA: Knowledge-Aware News Video Question Answering—0
Video Instruction Tuning With Synthetic Data—0
None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering—0
None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks—0
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment—0
Note on Combinatorial Engineering Frameworks for Hierarchical Modular Systems—0
Note on Evolution and Forecasting of Requirements: Communications Example—0
Novel-WD: Exploring acquisition of Novel World Knowledge in LLMs Using Prefix-Tuning—0
NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models—0
Objective quantification of mood states using large language models—0
OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities—0
OLMES: A Standard for Language Model Evaluations—0
OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs—0
Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns—0
On the application of Transformers for estimating the difficulty of Multiple-Choice Questions from text—0
On the Performance of Multimodal Language Models—0
On the Principles behind Opinion Dynamics in Multi-Agent Systems of Large Language Models—0
On the Reasoning Capacity of AI Models and How to Quantify It—0
AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments—0
VideoMCC: a New Benchmark for Video Comprehension—0
Optimal Weighting for Exam Composition—0
Option Comparison Network for Multiple-choice Reading Comprehension—0
Options-Aware Dense Retrieval for Multiple-Choice query Answering—0
Video Question Answering via Attribute-Augmented Attention Network Learning—0
ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models—0
Order Independence With Finetuning—0
PADDLe: a Platform to Identify Complex Words for Learners of French as a Foreign Language (FFL)—0
Paragraph Similarity Matches for Generating Multiple-choice Test Items—0
VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models—0
AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset—0
The AI Penalization Effect: People Reduce Compensation for Workers Who Use AI—0
Perception Test 2023: A Summary of the First Challenge And Outcome—0
Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark—0
A Foundational Multimodal Vision Language AI Assistant for Human Pathology—0
PerCul: A Story-Driven Cultural Evaluation of LLMs in Persian—0
Performance of ChatGPT-3.5 and GPT-4 on the United States Medical Licensing Examination With and Without Distractions—0
Performance of leading large language models in May 2025 in Membership of the Royal College of General Practitioners-style examination questions: a cross-sectional analysis—0
PersianMedQA: Language-Centric Evaluation of LLMs in the Persian Medical Domain—0
Personalised Feedback Framework for Online Education Programmes Using Generative AI—0
PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models—0
Vision-Language Models Do Not Understand Negation—0
Predicting Item Survival for Multiple Choice Questions in a High-Stakes Medical Exam—0
Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning—0
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