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pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs
Arxiv
0+阅读 · 1月6日
Understanding Multi-Agent Reasoning with Large Language Models for Cartoon VQA
Arxiv
0+阅读 · 1月6日
Protecting multimodal large language models against misleading visualizations
Arxiv
0+阅读 · 1月6日
SentGraph: Hierarchical Sentence Graph for Multi-hop Retrieval-Augmented Question Answering
Arxiv
0+阅读 · 1月6日
DarkEQA: Benchmarking Vision-Language Models for Embodied Question Answering in Low-Light Indoor Environments
Arxiv
0+阅读 · 1月6日
Accurate Table Question Answering with Accessible LLMs
Accurate Table Question Answering with Accessible LLMs
Arxiv
0+阅读 · 1月6日
MDAgent2: Large Language Model for Code Generation and Knowledge Q&A in Molecular Dynamics
Arxiv
0+阅读 · 1月6日
Towards Faithful Reasoning in Comics for Small MLLMs
Arxiv
0+阅读 · 1月6日
LittiChoQA: Literary Texts in Indic Languages Chosen for Question Answering
Arxiv
0+阅读 · 1月6日
Enhancing Reasoning Skills in Small Persian Medical Language Models Can Outperform Large-Scale Data Training
Enhancing Reasoning Skills in Small Persian Medical Language Models Can Outperform Large-Scale Data Training
Arxiv
0+阅读 · 1月6日
Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats
Arxiv
0+阅读 · 1月6日
MARCH: Evaluating the Intersection of Ambiguity Interpretation and Multi-hop Inference
Arxiv
0+阅读 · 1月6日
pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs
Arxiv
0+阅读 · 1月5日
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering
Arxiv
0+阅读 · 1月5日
Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports
Arxiv
0+阅读 · 1月5日
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