an open dataset and web-based application for the study of metaphor
[Submitted on 1 Mar 2025 (v1), last revised 15 Apr 2025 (this version, v2)] Authors:Maddalena Bressler, Veronica Mangiaterra, Paolo Canal, ...
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Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs
arXiv:2504.11239v1 Announce Type: cross Abstract: Reasoning is the fundamental capability of large language models (LLMs). Due to the rapid progress ...
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Long-Context Evaluation Beyond Literal Matching
[Submitted on 7 Feb 2025 (v1), last revised 26 Mar 2025 (this version, v2)] View a PDF of the paper ...
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A Novel Approach for the Automated Evaluation of Open-Ended Question Generation
[Submitted on 16 Oct 2024 (v1), last revised 25 Mar 2025 (this version, v3)] View a PDF of the paper ...
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A Floater-Free Framework for 3D Gaussian Splatting
[Submitted on 24 Mar 2025 (v1), last revised 25 Mar 2025 (this version, v2)] View a PDF of the paper ...
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Exploring Training and Inference Scaling Laws in Generative Retrieval
arXiv:2503.18941v1 Announce Type: cross Abstract: Generative retrieval has emerged as a novel paradigm that leverages large language models (LLMs) to ...
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A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving
[Submitted on 30 Dec 2024 (v1), last revised 21 Mar 2025 (this version, v3)] View a PDF of the paper ...
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Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
[Submitted on 15 Mar 2024 (v1), last revised 21 Mar 2025 (this version, v3)] View a PDF of the paper ...
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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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