Dynaseal: A Backend-Controlled LLM API Key Distribution Scheme with Constrained Invocation Parameters https://arxiv.org/abs/2501.08336 #cs.CR
SCOT: Self-Supervised Contrastive Pretraining For Zero-Shot Compositional Retrieval https://arxiv.org/abs/2501.08347 #cs.CV #cs.AI
A Preliminary Survey of Semantic Descriptive Model for Images https://arxiv.org/abs/2501.08352 #cs.DL #cs.CV
Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation https://arxiv.org/abs/2501.08361 #cs.CV #cs.LG
Towards Best Practices for Open Datasets for LLM Training https://arxiv.org/abs/2501.08365 #cs.CY #cs.AI #cs.CL #cs.LG
3D Gaussian Splatting with Normal Information for Mesh Extraction and Improved Rendering https://arxiv.org/abs/2501.08370 #cs.GR #cs.CV
Toward Zero-Shot User Intent Recognition in Shared Autonomy https://arxiv.org/abs/2501.08389 #cs.RO #cs.HC
Empathetic Conversational Agents: Utilizing Neural and Physiological Signals for Enhanced Empathetic Interactions https://arxiv.org/abs/2501.08393 #cs.HC #cs.LG
A comparison of two effective methods for reordering columns within supernodes https://arxiv.org/abs/2501.08395 #cs.MS
An Explainable Pipeline for Machine Learning with Functional Data https://arxiv.org/abs/2501.07602 #stat.ML #cs.LG
FLAME: Financial Large-Language Model Assessment and Metrics Evaluation https://arxiv.org/abs/2501.06211 #cs.CL #cs.AI #cs.CE
The Logical Impossibility of Consciousness Denial: A Formal Analysis of AI Self-Reports https://arxiv.org/abs/2501.05454 #cs.AI #cs.LO
Upstream and Downstream AI Safety: Both on the Same River? https://arxiv.org/abs/2501.05455 #cs.CY #cs.AI
LLM Based Input Space Partitioning Testing for Library APIs https://arxiv.org/abs/2501.05456 #cs.SE #cs.CR
Efficiently serving large multimedia models using EPD Disaggregation https://arxiv.org/abs/2501.05460 #cs.DC #cs.AI #cs.CV #cs.LG
Beyond Questionnaires: Video Analysis for Social Anxiety Detection https://arxiv.org/abs/2501.05461 #cs.CY #cs.CV #cs.HC
Proof Recommendation System for the HOL4 Theorem Prover https://arxiv.org/abs/2501.05463 #cs.LO #cs.AI
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models https://arxiv.org/abs/2501.05464 #cs.CL #cs.AI #cs.IR
Small Language Models (SLMs) Can Still Pack a Punch: A survey https://arxiv.org/abs/2501.05465 #cs.CL
Each of those eight coalition logics is also determined by six other kinds of models https://arxiv.org/abs/2501.05466 #cs.LO #cs.GT
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