π¨Real-world retrieval is messy: queries are ambiguous or docs conflict & have incorrect/irrelevant info. How can we jointly address these problems?
β‘οΈRAMDocs: challenging dataset w/ ambiguity, misinformation & noise
β‘οΈMADAM-RAG: multi-agent framework, debates & aggregates evidence across sources
π§΅β¬οΈ
18.04.2025 17:05 β π 14 π 7 π¬ 3 π 0
π Congrats to the awesome students, postdocs, & collaborators for this exciting batch of #ICLR2025 and #NAACL2025 accepted papers (FYI some are on the academic/industry job market and a great catch π), on diverse, important topics such as:
-- adaptive data generation environments/policies
...
π§΅
27.01.2025 21:38 β π 18 π 9 π¬ 1 π 0
Deeply honored & humbled to have received the Presidential #PECASE Award by the @WhiteHouse and @POTUS office! π
Most importantly, very grateful to my amazing mentors, students, postdocs, collaborators, and friends+family for making this possible, and for making the journey worthwhile + beautiful π
15.01.2025 16:45 β π 43 π 8 π¬ 5 π 1
π¨ Iβm on the academic job market!
j-min.io
I work on β¨Multimodal AIβ¨, advancing reasoning in understanding & generation by:
1β£ Making it scalable
2β£ Making it faithful
3β£ Evaluating + refining it
Completing my PhD at UNC (w/ @mohitbansal.bsky.social).
Happy to connect (will be at #NeurIPS2024)!
ππ§΅
07.12.2024 22:32 β π 30 π 10 π¬ 2 π 6
Elias is a brilliant and supportive researcher and mentor, and I am enjoying collaborating with him. I can't wait to see what he will achieve as a professor!
06.12.2024 02:36 β π 1 π 0 π¬ 0 π 0
π¨ Reverse Thinking Makes LLMs Stronger Reasoners
We can often reason from a problem to a solution and also in reverse to enhance our overall reasoning. RevThink shows that LLMs can also benefit from reverse thinking π 13.53% gains + sample efficiency + strong generalization (on 4 OOD datasets)!
02.12.2024 19:29 β π 19 π 11 π¬ 1 π 2
πββοΈ
22.11.2024 03:06 β π 1 π 0 π¬ 0 π 0
associate prof at UMD CS researching NLP & LLMs
I do research in social computing and LLMs at Northwestern with @robvoigt.bsky.social and Kaize Ding.
@_angie_chen at the other place
PhD student @NYU, formerly at
@Princeton π
Interested in LLMs/NLP, pastries, and running. She/her.
PhD student @ Penn
alonj.github.io
PhD student at Language Technology Lab, University of Cambridge
Visiting Scientist at Schmidt Sciences. Visiting Researcher at Stanford NLP Group
Interested in AI safety and interpretability
Previously: Anthropic, AI2, Google, Meta, UNC Chapel Hill
NLP PhD student @ University of Maryland, College Park || prev lyft, UT Austin NLP
https://nehasrikn.github.io/
PhD candidate @UMD | Responsible AI
Professor at UW; Researcher at Meta. LMs, NLP, ML. PNW life.
Assistant Professor at UNC Chapel Hill, previously a postdoc at Meta AI, PhD from UPenn, a basketball enthusiast π.
π https://www.gedasbertasius.com/
π https://scholar.google.com/citations?hl=en&user=8FWkjw8AAAAJ
Incoming assistant professor at JHU CS & Young Investigator at AI2
PhD at UNC
https://j-min.io
#multimodal #nlp
Ph.D. Student at UNC CS. Interested in multimodal video understanding&generation.
https://yui010206.github.io/
Research in Language & Speech Processing - Interested in Multimodal AI
CLSP@JHU
Ph.D. Student @ UNC Chapel Hill. Working on LLM efficiency and truthfulness.
https://duykhuongnguyen.github.io/
Senior Director, Research Scientist @ Meta FAIR + Visiting Prof @ NYU.
Pretrain+SFT: NLP from Scratch (2011). Multilayer attention+position encode+LLM: MemNet (2015). Recent (2024): Self-Rewarding LLMs & more!
Computer Science @UNC-Chapel Hill, bringing together world-class research and exceptional graduate and undergraduate education.
cs.unc.edu
Ph.D. Student @unccs, @uncnlp, MURGe-Lab. Student Researcher @Google
SciComm of Academic NLP Papers | Research Scientist | Explainability, Prompting, Benchmarking, Metrics, Red-Teaming & Eval of LLMs
https://nlpurr.github.io/
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems.
Website: https://melaniemitchell.me
Substack: https://aiguide.substack.com/