Nikhil Singh
@nikhilsinghmus.bsky.social
Asst Prof, Dartmouth CS. Human-AI Systems. Prev: PhD @ MIT, Allen Institute for AI, Netflix Research, Berklee College of Music.
https://nsingh1.host.dartmouth.edu
https://nsingh1.host.dartmouth.edu
Reposted by Nikhil Singh
🚨New Preprint 🚨
Current agent evals mostly measure competence, but miss behavior e.g. are their decisions stable, rational, manipulable, human-like?
We introduce ABxLAB, a framework for studying agent behavior. Using it we create an agentic consumer behavior benchmark.
🧵1/9
Current agent evals mostly measure competence, but miss behavior e.g. are their decisions stable, rational, manipulable, human-like?
We introduce ABxLAB, a framework for studying agent behavior. Using it we create an agentic consumer behavior benchmark.
🧵1/9
October 23, 2025 at 6:16 PM
🚨New Preprint 🚨
Current agent evals mostly measure competence, but miss behavior e.g. are their decisions stable, rational, manipulable, human-like?
We introduce ABxLAB, a framework for studying agent behavior. Using it we create an agentic consumer behavior benchmark.
🧵1/9
Current agent evals mostly measure competence, but miss behavior e.g. are their decisions stable, rational, manipulable, human-like?
We introduce ABxLAB, a framework for studying agent behavior. Using it we create an agentic consumer behavior benchmark.
🧵1/9
Excited to share ABxLab, our new open-source framework that lets you run controlled experiments on AI agents in real web environments! We used it to study purchasing behavior, an emerging application for agents, with pretty wild results.
🚨New Preprint 🚨
Current agent evals mostly measure competence, but miss behavior e.g. are their decisions stable, rational, manipulable, human-like?
We introduce ABxLAB, a framework for studying agent behavior. Using it we create an agentic consumer behavior benchmark.
🧵1/9
Current agent evals mostly measure competence, but miss behavior e.g. are their decisions stable, rational, manipulable, human-like?
We introduce ABxLAB, a framework for studying agent behavior. Using it we create an agentic consumer behavior benchmark.
🧵1/9
October 23, 2025 at 6:44 PM
Excited to share ABxLab, our new open-source framework that lets you run controlled experiments on AI agents in real web environments! We used it to study purchasing behavior, an emerging application for agents, with pretty wild results.
Reposted by Nikhil Singh
We are recruiting two postdoctoral scholars for a research project in human collective intelligence and creativity at UC Davis and Cornell. Joint project with @enfascination.com, @norijacoby.bsky.social, @oferon.bsky.social & Dalton Conley. Please forward this thread to relevant people. 1/n
April 29, 2025 at 2:46 AM
We are recruiting two postdoctoral scholars for a research project in human collective intelligence and creativity at UC Davis and Cornell. Joint project with @enfascination.com, @norijacoby.bsky.social, @oferon.bsky.social & Dalton Conley. Please forward this thread to relevant people. 1/n
Reposted by Nikhil Singh
✨Contrastive Learning from Synthetic Audio Doppelgängers #ICLR2025✨ w/
@nikhilsinghmus.bsky.social
Our method learns useful audio representations with randomly synthesized sounds (often better than real data!)
🌐Project: doppelgangers.media.mit.edu
📄Paper: arxiv.org/abs/2406.05923
🧵1/3
@nikhilsinghmus.bsky.social
Our method learns useful audio representations with randomly synthesized sounds (often better than real data!)
🌐Project: doppelgangers.media.mit.edu
📄Paper: arxiv.org/abs/2406.05923
🧵1/3
March 12, 2025 at 8:25 PM
✨Contrastive Learning from Synthetic Audio Doppelgängers #ICLR2025✨ w/
@nikhilsinghmus.bsky.social
Our method learns useful audio representations with randomly synthesized sounds (often better than real data!)
🌐Project: doppelgangers.media.mit.edu
📄Paper: arxiv.org/abs/2406.05923
🧵1/3
@nikhilsinghmus.bsky.social
Our method learns useful audio representations with randomly synthesized sounds (often better than real data!)
🌐Project: doppelgangers.media.mit.edu
📄Paper: arxiv.org/abs/2406.05923
🧵1/3
Reposted by Nikhil Singh
Excited to present our new paper on nudging LLMs (👉🤖) as a spotlight talk at the NeurIPS Behavioral ML Workshop! @neuripsconf.bsky.social
w/ Nikhil Singh* (@nikhilsinghmus.bsky.social) and Pattie Maes
🔗 openreview.net/forum?id=chb...
🧵 1/3
w/ Nikhil Singh* (@nikhilsinghmus.bsky.social) and Pattie Maes
🔗 openreview.net/forum?id=chb...
🧵 1/3
November 26, 2024 at 11:07 PM
Excited to present our new paper on nudging LLMs (👉🤖) as a spotlight talk at the NeurIPS Behavioral ML Workshop! @neuripsconf.bsky.social
w/ Nikhil Singh* (@nikhilsinghmus.bsky.social) and Pattie Maes
🔗 openreview.net/forum?id=chb...
🧵 1/3
w/ Nikhil Singh* (@nikhilsinghmus.bsky.social) and Pattie Maes
🔗 openreview.net/forum?id=chb...
🧵 1/3
Reposted by Nikhil Singh
I'm recruiting a PhD student to join the Human AI Collaboration lab at Kellogg, NU CS, and @nicoatnu.bsky.social
If you're excited about computational social science, LLMs, digital experiments, real-world problem solving, this could be a great fit
Please reshare!
Deets 👇
If you're excited about computational social science, LLMs, digital experiments, real-world problem solving, this could be a great fit
Please reshare!
Deets 👇
November 19, 2024 at 9:41 PM
I'm recruiting a PhD student to join the Human AI Collaboration lab at Kellogg, NU CS, and @nicoatnu.bsky.social
If you're excited about computational social science, LLMs, digital experiments, real-world problem solving, this could be a great fit
Please reshare!
Deets 👇
If you're excited about computational social science, LLMs, digital experiments, real-world problem solving, this could be a great fit
Please reshare!
Deets 👇