[2412.18084] Property Enhanced Instruction Tuning for Multi-task Molecule Generation with Large Language Models
[Submitted on 24 Dec 2024 (v1), last revised 5 Mar 2025 (this version, v2)] View a PDF of the paper […]
Supervised Fine-Tuning with Human-Aligned Judgment
[Submitted on 4 Mar 2025] View a PDF of the paper titled Teaching AI to Handle Exceptions: Supervised Fine-Tuning with
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Can Small Math Language Models Rival with Large Language Models on Mathematical Reasoning?
[Submitted on 22 Apr 2024 (v1), last revised 5 Mar 2025 (this version, v2)] View a PDF of the paper
A Bidirectional Factorization-based Evaluation of Intent Extraction from UI Trajectories
[Submitted on 11 Feb 2025 (v1), last revised 5 Mar 2025 (this version, v3)] View a PDF of the paper
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Implicit Bias in LLMs: A Survey
arXiv:2503.02776v1 Announce Type: cross Abstract: Due to the implement of guardrails by developers, Large language models (LLMs) have demonstrated exceptional
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[2405.13152] Interpretable Interaction Modeling for Trajectory Prediction via Agent Selection and Physical Coefficient
[Submitted on 21 May 2024 (v1), last revised 4 Mar 2025 (this version, v4)] View a PDF of the paper
[2103.03223] A Comparative Evaluation of Quantification Methods
[Submitted on 4 Mar 2021 (v1), last revised 4 Mar 2025 (this version, v5)] View a PDF of the paper
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Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
[Submitted on 15 Oct 2024 (v1), last revised 4 Mar 2025 (this version, v2)] View a PDF of the paper
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Kid-inspired Visual Analogies for Testing Large Multimodal Models
[Submitted on 25 Jul 2024 (v1), last revised 4 Mar 2025 (this version, v2)] View a PDF of the paper
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Synthetic Instruction Data Selection with Multi-LLM Wisdom
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals
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