We are accepting papers for the following two tracks!
π€ ML track: algorithms, math, computation
π Socio-technical track: policy, ethics, human participant research
17.06.2025 18:00 β π 0 π 0 π¬ 0 π 0
Third Workshop on Socially Responsible Language Modelling Research (SoLaR) 2025
COLM 2025 in-person Workshop, October 10th at the Palais des Congrès in Montreal, Canada
Interested in shaping the progress of safe AI and meeting leading researchers in the field? SoLaR@COLM 2025 is looking for paper submissions / reviewers!
Submit your paper / sign up to review by June 23
CFP and workshop info: solar-colm.github.io
Reviewer sign up: docs.google.com/forms/d/e/1F...
17.06.2025 17:59 β π 6 π 2 π¬ 1 π 0
How does the public conceptualize AI? Rather than self-reported measures, we use metaphors to understand the nuance and complexity of peopleβs mental models. In our #FAccT2025 paper, we analyzed 12,000 metaphors collected over 12 months to track shifts in public perceptions.
02.05.2025 01:19 β π 49 π 14 π¬ 3 π 1
Life update! Excited to announce that Iβll be starting as an assistant professor at Cornell Info Sci in August 2026! Iβll be recruiting students this upcoming cycle!
An abundance of thanks to all my mentors and friends who helped make this possible!!
24.04.2025 02:03 β π 76 π 8 π¬ 19 π 0
Website: solar-colm.github.io
With:
@usmananwar.bsky.social @liweijiang.bsky.social @valentinapy.bsky.social @sharonlevy.bsky.social Daniel Tan @akhilayerukola.bsky.social @jiminmun.bsky.social Ruth Appel @sumeetrm.bsky.social @davidskrueger.bsky.social Sheila McIlraith @maartensap.bsky.social
12.05.2025 15:25 β π 2 π 1 π¬ 0 π 0
π’ The SoLaR workshop will be collocated with COLM!
@colmweb.org
SoLaR is a collaborative forum for researchers working on responsible development, deployment and use of language models.
We welcome both technical and sociotechnical submissions, deadline July 5th!
12.05.2025 15:25 β π 17 π 6 π¬ 1 π 0
Check out our work on improving LLM's ability to seek information through asking better questions! π«
21.02.2025 16:16 β π 7 π 0 π¬ 0 π 0
MIT media lab // researching fairness, equity, & pluralistic alignment in LLMs
previously @ mila / mcgill
i like language and dogs and plants and ultimate frisbee and baking and sunsets
https://elinorp-d.github.io
researching AI [evaluation, governance, accountability]
Assistant Professor @ RutgersCS
Responsible AI
sharonlevy.github.io
Assistant Professor at Carnegie Mellon. Machine Learning and social impact. https://bryanwilder.github.io/
MLE@IBM watsonx | previously @virginiatech, @ibmresearch
| NLP, HCI, Computational Social Science Researcher | Opinions are my own!
Incoming Assistant Professor at Cornell Information Science
Previously at Stanford NLP
https://cs.stanford.edu/~katezhou/
Postdoc in AI at the Allen Institute for AI & the University of Washington.
π https://valentinapy.github.io
PhDing @ IST DEI π΅πΉ & CMU LTI πΊπΈ
Masterβs student @ltiatcmu.bsky.social. he/him
Asst Prof at Cornell Info Sci and Cornell Tech. Responsible AI
https://angelina-wang.github.io/
Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement."
https://people.eecs.berkeley.edu/~emmapierson/
Prof (CS @Stanford), Co-Director @StanfordHAI, Cofounder/CEO @theworldlabs, CoFounder @ai4allorg #AI #computervision #robotics #AI-healthcare
PhD student in Statistics & Data Science at CMU
Causal inference, machine learning, nonparametric statistics with applications to social science
jungholeestat.github.io
PhD student @uwnlp.bsky.social @uwcse.bsky.social | visiting researcher @MetaAI | previously @jhuclsp.bsky.social
https://stellalisy.com
PhD Student in Machine Learning at CMU. yewonbyun.github.io
Working on #NLProc for social good.
Currently at LTI at CMU. π³βπ
Professor at UW; Researcher at Meta. LMs, NLP, ML. PNW life.
PhD student @ CMU LTI. efficiency/data in NLP/ML
PhD-ing @ LTI, CMU; Intern @ NVIDIA. Doing Reasoning with Gen AI!