Researcher — paper.dinq.me

2026 顶会论文

作者位次 #3/3ICML 2026Spotlight· Applications / Chemistry, Physics, and Earth Sciences

Overcoming PINNs Failure Modes In High Dimension With Low-Rank Fourier Sum

Natan Kaminsky · Daniel Freedman · Kira Radinsky

效率与系统OpenReview

作者位次 #3/3ICML 2026Poster· Deep Learning / Large Language Models

Learning Rewrite-Invariant Reasoning with Targeted Alternation Training

Mousa Arraf · Ido Guy · Kira Radinsky

推理OpenReview

作者位次 #3/3ACL 2026Findings· Findings of ACL

Propaganda Signals in LLM s: Perspectival Divergence and Narrative Framing in the R ussia- U kraine War

Ofir Shabat · Ido Guy · Kira Radinsky

摘要

Large Language Models (LLMs) are increasingly used to explain, summarize, and translate real-world events, including ongoing geopolitical conflicts. Yet it remains unclear whether they reproduce conflict-specific propaganda and, if so, how this appears in their outputs. We study this question for...

评测与基准社会与人本对齐与偏好OpenReview 项目页

作者位次 #4/5AAAI 2026Poster· Artificial Intelligence