Optimizing Data Mixtures by Predicting Language Modeling Performance
[Submitted on 25 Mar 2024 (v1), last revised 20 Mar 2025 (this version, v2)] View a PDF of the paper ...
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Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU
arXiv:2503.15166v1 Announce Type: cross Abstract: Machine unlearning methods have become increasingly important for selective concept removal in large pre-trained models. ...
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[2402.13213] Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A
[Submitted on 20 Feb 2024 (v1), last revised 19 Mar 2025 (this version, v3)] View a PDF of the paper ...
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MoonCast: High-Quality Zero-Shot Podcast Generation
arXiv:2503.14345v1 Announce Type: cross Abstract: Recent advances in text-to-speech synthesis have achieved notable success in generating high-quality short utterances for ...
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Clock and Calendar Understanding Challenges in Multimodal LLMs
[Submitted on 7 Feb 2025 (v1), last revised 18 Mar 2025 (this version, v2)] View a PDF of the paper ...
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Min-p Sampling for Creative and Coherent LLM Outputs
[Submitted on 1 Jul 2024 (v1), last revised 16 Mar 2025 (this version, v3)] View a PDF of the paper ...
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a Tool for Fine-Grained Machine-Generated Text Detection
[Submitted on 8 Aug 2024 (v1), last revised 14 Mar 2025 (this version, v3)] Authors:Mervat Abassy, Kareem Elozeiri, Alexander Aziz, ...
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[2502.17308] Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing
[Submitted on 24 Feb 2025 (v1), last revised 14 Mar 2025 (this version, v2)] View a PDF of the paper ...
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[2503.09701] Have LLMs Made Active Learning Obsolete? Surveying the NLP Community
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals ...
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[2501.14073] LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language
[Submitted on 23 Jan 2025 (v1), last revised 18 Feb 2025 (this version, v2)] View a PDF of the paper ...
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