[2507.15007] Hear Your Code Fail, Voice-Assisted Debugging for Python
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[Submitted on 20 Jul 2025 (v1), last revised 22 Jul 2025 (this version, v2)] View a PDF of the paper ...
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[2311.17741] End-to-end Joint Punctuated and Normalized ASR with a Limited Amount of Punctuated Training Data
[Submitted on 29 Nov 2023 (v1), last revised 21 Jul 2025 (this version, v3)] View a PDF of the paper ...
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RAG-based Architectures for Drug Side Effect Retrieval in LLMs
arXiv:2507.13822v1 Announce Type: cross Abstract: Drug side effects are a major global health concern, necessitating advanced methods for their accurate ...
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[2409.04617] Sparse Rewards Can Self-Train Dialogue Agents
[Submitted on 6 Sep 2024 (v1), last revised 18 Jul 2025 (this version, v3)] View a PDF of the paper ...
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[2402.13722] Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis
[Submitted on 21 Feb 2024 (v1), last revised 17 Jul 2025 (this version, v2)] View a PDF of the paper ...
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MetaLint: Generalizable Idiomatic Code Quality Analysis through Instruction-Following and Easy-to-Hard Generalization
arXiv:2507.11687v1 Announce Type: cross Abstract: Large Language Models, though successful in code generation, struggle with code quality analysis because they ...
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[2403.15740] Protecting Copyrighted Material with Unique Identifiers in Large Language Model Training
[Submitted on 23 Mar 2024 (v1), last revised 16 Jul 2025 (this version, v3)] View a PDF of the paper ...
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Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals ...
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A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools
[Submitted on 7 Feb 2025 (v1), last revised 14 Jul 2025 (this version, v2)] View a PDF of the paper ...
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Evaluating LLM Safety in Kazakh-Russian Bilingual Contexts
[Submitted on 19 Feb 2025 (v1), last revised 14 Jul 2025 (this version, v2)] Authors:Maiya Goloburda, Nurkhan Laiyk, Diana Turmakhan, ...
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