activity
20202026
most citedQueer In AI: A Case Study in Community-Led Participatory AI

65 citations · 145 across the 28 of their papers we have counts for

collaborators

29 papers

cs.CY2026

Challenges to Grassroots Organization Engagement with AI Policy

Carter Buckner, Jennifer Mickel, Nandhini Swaminathan +6

Public policies are being developed around the world to address privacy, economic, intellectual property, energy, and other risks that AI technologies pose. Involvement from the ge…

cs.AI2026

SCRuB: Social Concept Reasoning under Rubric-Based Evaluation

Jamelle Watson-Daniels, Himaghna Bhattacharjee, Skyler Wang +11

While many studies of Large Language Model (LLM) reasoning capabilities emphasize mathematical or technical tasks, few address reasoning about social concepts: the abstract ideas s…

q-bio.PE2026

Centering Ecological Goals in Automated Identification of Individual Animals

Lukas Picek, Timm Haucke, Lukáš Adam +16

Recognizing individual animals over time is central to many ecological and conservation questions, including estimating abundance, survival, movement, and social structure. Recent…

cs.CL2026

IYKYK (But AI Doesn't): Automated Content Moderation Does Not Capture Communities' Heterogeneous Attitudes Towards Reclaimed Language

Christina Chance, Rebecca Pattichis, Arjun Subramonian +4

Reclaimed slur usage is a common and meaningful practice online for many marginalized communities. It serves as a source of solidarity, identity, and shared experience. However, co…

cs.CL2026

Disentangling Geometry, Performance, and Training in Language Models

Atharva Kulkarni, Jacob Mitchell Springer, Arjun Subramonian +1

Geometric properties of Transformer weights, particularly the unembedding matrix, have been widely useful in language model interpretability research. Yet, their utility for estima…

cs.AI2026★ 2 cited

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation

Mubashara Akhtar, Anka Reuel, Prajna Soni +34

Artificial intelligence benchmarks are an important mechanism to measure model progress and guide deployment decisions. However, benchmarks quickly "saturate", making it difficult…