Maarten Sap
@maartensap.bsky.social
Working on #NLProc for social good.
Currently at LTI at CMU. 🏳🌈
Currently at LTI at CMU. 🏳🌈
Oh yes we have a paper under submission! I'll ask Mikayla to email you :)
October 14, 2025 at 1:35 PM
Oh yes we have a paper under submission! I'll ask Mikayla to email you :)
Day 3 (Thu Oct 9), 11:00am–1:00pm, Poster Session 5
Poster #13: PolyGuard: A Multilingual Safety Moderation Tool for 17 Languages by @kpriyanshu256.bsky.social and @devanshrjain.bsky.social
Poster #74: Fluid Language Model Benchmarking — led by @valentinhofmann.bsky.social
Poster #13: PolyGuard: A Multilingual Safety Moderation Tool for 17 Languages by @kpriyanshu256.bsky.social and @devanshrjain.bsky.social
Poster #74: Fluid Language Model Benchmarking — led by @valentinhofmann.bsky.social
October 6, 2025 at 2:51 PM
Day 3 (Thu Oct 9), 11:00am–1:00pm, Poster Session 5
Poster #13: PolyGuard: A Multilingual Safety Moderation Tool for 17 Languages by @kpriyanshu256.bsky.social and @devanshrjain.bsky.social
Poster #74: Fluid Language Model Benchmarking — led by @valentinhofmann.bsky.social
Poster #13: PolyGuard: A Multilingual Safety Moderation Tool for 17 Languages by @kpriyanshu256.bsky.social and @devanshrjain.bsky.social
Poster #74: Fluid Language Model Benchmarking — led by @valentinhofmann.bsky.social
Day 2 (Wed Oct 8), 4:30–6:30pm, Poster Session 4
Poster #50: The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains — led by
Scott Geng
Poster #50: The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains — led by
Scott Geng
October 6, 2025 at 2:51 PM
Day 2 (Wed Oct 8), 4:30–6:30pm, Poster Session 4
Poster #50: The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains — led by
Scott Geng
Poster #50: The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains — led by
Scott Geng
Day 1 (Tue Oct 7) 4:30-6:30pm, Poster Session 2
Poster #77: ALFA: Aligning LLMs to Ask Good Questions: A Case Study in Clinical Reasoning; led by
@stellali.bsky.social & @jiminmun.bsky.social
Poster #77: ALFA: Aligning LLMs to Ask Good Questions: A Case Study in Clinical Reasoning; led by
@stellali.bsky.social & @jiminmun.bsky.social
October 6, 2025 at 2:51 PM
Day 1 (Tue Oct 7) 4:30-6:30pm, Poster Session 2
Poster #77: ALFA: Aligning LLMs to Ask Good Questions: A Case Study in Clinical Reasoning; led by
@stellali.bsky.social & @jiminmun.bsky.social
Poster #77: ALFA: Aligning LLMs to Ask Good Questions: A Case Study in Clinical Reasoning; led by
@stellali.bsky.social & @jiminmun.bsky.social
Day 1 (Tue Oct 7) 4:30-6:30pm, Poster Session 2
Poster #42: HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions; led by @nlpxuhui.bsky.social
Poster #42: HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions; led by @nlpxuhui.bsky.social
October 6, 2025 at 2:51 PM
Day 1 (Tue Oct 7) 4:30-6:30pm, Poster Session 2
Poster #42: HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions; led by @nlpxuhui.bsky.social
Poster #42: HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions; led by @nlpxuhui.bsky.social
I've always seen people on laptops during talks, but it's possible it has increased.
I realized during lockdown that I drift to emails during Zoom talks, so I started knitting to pay better attention to those talks, and now I knit during IRL talks too (though sometimes I still peck at my laptop 😅)
I realized during lockdown that I drift to emails during Zoom talks, so I started knitting to pay better attention to those talks, and now I knit during IRL talks too (though sometimes I still peck at my laptop 😅)
August 22, 2025 at 3:00 PM
I've always seen people on laptops during talks, but it's possible it has increased.
I realized during lockdown that I drift to emails during Zoom talks, so I started knitting to pay better attention to those talks, and now I knit during IRL talks too (though sometimes I still peck at my laptop 😅)
I realized during lockdown that I drift to emails during Zoom talks, so I started knitting to pay better attention to those talks, and now I knit during IRL talks too (though sometimes I still peck at my laptop 😅)
We have been studying these questions of how models should refuse in our recent paper accepted to EMNLP Findings (arxiv.org/abs/2506.00195) led by my wonderful PhD student
@mingqian-zheng.bsky.social
@mingqian-zheng.bsky.social
![Snippet of the Forbes article, with highlighted text.
A recent study by Allen Institute for AI (Ai2), titled “Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences,” found that refusal style mattered more than user intent. The researchers tested 3,840 AI query-response pairs across 480 participants, comparing direct refusals, explanations, redirection, partial compliance and full compliance.
Partial compliance, sharing general but not specific information, reduced dissatisfaction by over 50% compared to outright denial, making it the most effective safeguard.
“We found that [start of highlight] direct refusals can cause users to have negative perceptions of the LLM: users consider these direct refusals significantly less helpful, more frustrating and make them significantly less likely to interact with the system in the future,” [end of highlight] Maarten Sap, AI safety lead at Ai2 and assistant professor at Carnegie Mellon University, told me. “I do not believe that model welfare is a well-founded direction or area to care about.”](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:jqtp2hdnr5g7giblg57wbd7e/bafkreieqlgyx5cr22fdgz6qq5w55yw4q74rqhglnf2qmzjaieigsbw7hka@jpeg)
August 22, 2025 at 1:00 PM
We have been studying these questions of how models should refuse in our recent paper accepted to EMNLP Findings (arxiv.org/abs/2506.00195) led by my wonderful PhD student
@mingqian-zheng.bsky.social
@mingqian-zheng.bsky.social