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From the 2 of 9 papers with an AI index.

most citedRandom gas motions inside sub-parsec scale supercritical filaments

4 citations

18 papers

astro-ph.IM2026

Early Exploration of the Scientific Discovery Space for the Habitable Worlds Observatory

Courtney D. Dressing, Danica Adams, Evelyne Alecian +324

The paper summarizes 70 science cases for the proposed NASA Habitable Worlds Observatory, outlining the observational needs across four scientific pillars and detailing required ca…

astro-ph.CO2026

The Dark Energy Camera All Data Everywhere cosmic shear project V: Constraints on cosmology and astrophysics from 270 million galaxies across 13,000 deg of the sky

D. Anbajagane, C. Chang, A. Drlica-Wagner +78

The paper presents cosmological and astrophysical constraints derived from cosmic shear measurements of 270 million galaxies covering 13,000 deg², combining data from the DECADE pr…

cs.CL2026

When Debiasing Backfires: Counterintuitive Side Effects of Preprocessing-Based Stereotype Mitigation

Yahan Zheng, John Guerrerio, Soroush Vosoughi +1

Preprocessing-based methods for stereotype mitigation, such as pre-/post-training on debiased corpora, are widely used in NLP. While these approaches reduce measurable stereotypes…

cs.CL2026

Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration

Weicheng Ma, John Guerrerio, Soroush Vosoughi

Research on stereotypes in large language models (LLMs) has largely focused on English-speaking contexts, due to the lack of datasets in other languages and the high cost of manual…

math.CO2026

Penney's game for permutations

Sergi Elizalde, Yixin Lin

We consider the permutation analogue of Penney's game for words. Two players, in order, each choose a permutation of length ; then a sequence of independent random values fr…

cs.CL2026

Spectral Signatures of Large Language Models

Zhuoying Zhang, Ishan V. Prasad, Yuanzhe Hu +4

The rapidly growing repository of publicly available large language models (LLMs) presents significant challenges for systematic management and quantification at scale, such as mod…