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Showing 601–625 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
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