Calibrating Small Language Models for Claim Check-Worthiness Detection
arXiv:2608.30731v2 Announce Type: replace-cross Abstract: Assessing claim check-worthiness is an essential first step in automated fact-checking pipelines. This work is…
Ctrl-F-Resist. Practices, Challenges, and Technical Needs of Civil Society Organizations Monitoring the Far-Right Online
arXiv:2609.00808v1 Announce Type: cross Abstract: As far-right actors increasingly exploit online platforms to disseminate ideology and mobilize supporters, civil society…
Agentic programs: an emerging form of scientific software in computational materials science
arXiv:2609.00795v1 Announce Type: cross Abstract: Computational materials science has traditionally delegated algorithmic tasks to computers while leaving scientific judgments to…
Cost-efficient Active Learning for Referring Image Segmentation and Grounding
arXiv:2608.30621v2 Announce Type: replace-cross Abstract: Collecting natural-language referring expressions along with region annotations, such as masks or boxes, is a…
DS-Lighting: Making Agent Harnesses Explicit for Data-Science Automation
arXiv:2608.28590v1 Announce Type: new Abstract: Large Language Model (LLM) agents have shown promise for automating data-science workflows, yet their end-to-end…
Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Loss
arXiv:2608.28308v2 Announce Type: replace-cross Abstract: We study the scaling behavior of learning rate and batch size in pretraining dense large…
RailGen: Improving Railway Intrusion Detection via Agent-Guided Small-Scale Foreign Object Generation
arXiv:2608.30727v1 Announce Type: cross Abstract: Small-object detection under long-tailed data distributions is a fundamental yet challenging problem in multimedia. Railway…
A Survey on Rubric-Guided Reinforcement Learning for Language Models
arXiv:2608.27505v2 Announce Type: replace-cross Abstract: Reinforcement learning from human feedback (RLHF) has become the dominant paradigm for aligning large language…
Multi-modal learning with incomplete data
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