Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
[Submitted on 29 Jun 2024 (v1), last revised 18 Nov 2024 (this version, v3)] View a PDF of the paper ...
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Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning
[Submitted on 9 Oct 2024 (v1), last revised 18 Nov 2024 (this version, v2)] View a PDF of the paper ...
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[2405.01483] MANTIS: Interleaved Multi-Image Instruction Tuning
[Submitted on 2 May 2024 (v1), last revised 15 Nov 2024 (this version, v3)] View a PDF of the paper ...
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A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning
[Submitted on 25 Oct 2024 (v1), last revised 14 Nov 2024 (this version, v3)] View a PDF of the paper ...
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Multi-Agent LLM Defense against Jailbreak Attacks
[Submitted on 2 Mar 2024 (v1), last revised 14 Nov 2024 (this version, v2)] View a PDF of the paper ...
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[2407.15339] Deep Learning for Economists
[Submitted on 22 Jul 2024 (v1), last revised 13 Nov 2024 (this version, v3)] View a PDF of the paper ...
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[2411.07820] Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models
[Submitted on 12 Nov 2024 (v1), last revised 13 Nov 2024 (this version, v2)] View a PDF of the paper ...
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[2405.00722] LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study
[Submitted on 26 Apr 2024 (v1), last revised 12 Nov 2024 (this version, v2)] View a PDF of the paper ...
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[2311.07468] An Analysis and Mitigation of the Reversal Curse
[Submitted on 13 Nov 2023 (v1), last revised 10 Nov 2024 (this version, v3)] View a PDF of the paper ...
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A Technology Probe for Resolving Value Conflicts through Expert-Driven and User-Driven Strategies in AI Companion Applications
arXivLabs is a framework that permits collaborators to develop and share new arXiv options straight on our web site. Each ...
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