[2509.20859] Concise and Sufficient Sub-Sentence Citations for Retrieval-Augmented Generation
![[2509.20859] Concise and Sufficient Sub-Sentence Citations for Retrieval-Augmented Generation](https://i1.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?ssl=1 "[2509.20859] Concise and Sufficient Sub-Sentence Citations for Retrieval-Augmented Generation"){kind=logo}
[ad_1] [Submitted on 25 Sep 2025 (v1), last revised 18 Oct 2025 (this version, v2)] View a PDF of the ...
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Flexible Low Rank Adaptation for Large Language Models
[ad_1] [Submitted on 20 Aug 2024 (v1), last revised 17 Oct 2025 (this version, v5)] View a PDF of the ...
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DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation
[ad_1] arXiv:2510.14949v1 Announce Type: new Abstract: Contact languages like English exhibit rich regional variations in the form of dialects, which ...
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[2509.08814] Merge-of-Thought Distillation
[ad_1] [Submitted on 10 Sep 2025 (v1), last revised 16 Oct 2025 (this version, v3)] View a PDF of the ...
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Information Completeness Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis
[ad_1] [Submitted on 20 Feb 2025 (v1), last revised 15 Oct 2025 (this version, v5)] View a PDF of the ...
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[2506.13886] Investigating the interaction of linguistic and mathematical reasoning in language models using multilingual number puzzles
[ad_1] [Submitted on 16 Jun 2025 (v1), last revised 15 Oct 2025 (this version, v2)] View a PDF of the ...
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A Study on the Impact of Cross-Corpus Training on Model Values and Biases
[ad_1] [Submitted on 17 Aug 2025 (v1), last revised 14 Oct 2025 (this version, v2)] View a PDF of the ...
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Phonetic Perturbations in Code-Mixed Hinglish to Red-Team LLMs
[ad_1] [Submitted on 20 May 2025 (v1), last revised 11 Oct 2025 (this version, v3)] View a PDF of the ...
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Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
[ad_1] [Submitted on 4 Mar 2025 (v1), last revised 13 Oct 2025 (this version, v2)] View a PDF of the ...
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A Design-based Solution for Causal Inference with Text: Can a Language Model Be Too Large?
[ad_1] arXiv:2510.08758v1 Announce Type: cross Abstract: Many social science questions ask how linguistic properties causally affect an audience’s attitudes and ...
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