Zaid Khan
@codezakh
Followers
532
Following
1K
Media
24
Statuses
425
@uncnlp with @mohitban47 working on grounded reasoning + multimodal agents // currently @allen_ai formerly @neclabsamerica // bs+ms CompE @northeastern
Boston, USA
Joined June 2023
What if we could transform advanced math problems into abstract programs that can generate endless, verifiable problem variants?. Presenting EFAGen, which automatically transforms static advanced math problems into their corresponding executable functional abstractions (EFAs).
2
41
116
RT @ZiyangW00: 🚨Introducing Video-RTS: Resource-Efficient RL for Video Reasoning with Adaptive Video TTS! . While RL-based video reasoning….
0
21
0
RT @hanqi_xiao: 🎉 Excited to share that TaCQ (Task-Circuit Quantization), our work on knowledge-informed mixed-precision quantization, has….
0
13
0
RT @prateeky2806: I've officially joined Meta Superintelligence Labs (MSL) org in the Bay Area. I'll be working on critical aspects of pre-….
0
27
0
RT @EliasEskin: 🎉 Very excited to see TaCQ — our work on task-conditioned mixed-precision quantization that draws on interpretability metho….
0
13
0
RT @ArchikiPrasad: 🥳Our work UTGen & UTDebug on teaching LLMs to generate effective unit tests & improve code debugging/generation has been….
0
22
0
RT @mohitban47: 🎉 Yay, welcome @hyunji_amy_lee -- super excited to have you join us as a postdoc! 🤗. Welcome to our MURGe-Lab + @unc_ai_gro….
0
10
0
RT @hyunji_amy_lee: 🥳Excited to share that I’ll be joining @unccs as postdoc this fall. Looking forward to work with @mohitban47 & amazing….
0
26
0
RT @EliasEskin: 🎉 Excited to share that CAPTURe has been accepted to #ICCV2025! CAPTURe is a new benchmark for VLM reasoning that requires….
0
13
0
RT @RenZhongzheng: 🥳 Excited to share that I’ll be joining the CS Department at UNC-Chapel Hill (@unccs @unc_ai_group) as an Assistant Prof….
0
15
0
RT @mohitban47: 🎉 Yay, welcome to the @unc @unccs @unc_ai_group family and beautiful Research Triangle area, Jason! . Looking forward to th….
0
8
0
RT @shoubin621: 🚀 Excited to introduce a new member of the LRM (Large Reconstruction Models) family — 4D-LRM!. 1. What is 4D-LRM?.It’s a la….
0
12
0
RT @shoubin621: 🎉Excited to announce VEEGIE has been accepted to #ICCV2025 ! VEGGIE is a unified MLLM + Diffusion framework for instruction….
0
16
0
RT @EliasEskin: 🚨 Excited to announce MF2, a new+challenging long-video understanding dataset! MF2 covers open-license movies and focuses o….
0
14
0
RT @shoubin621: New paper Alert 🚨 Introducing MEXA: A general and training-free multimodal reasoning framework via dynamic multi-expert ski….
0
26
0
RT @MercatJean: We evaluated more than 1000 reasoning LLMs on 12 reasoning-focused benchmarks and made fascinating observations about cross….
0
18
0
RT @meetdavidwan: Excited to share GenerationPrograms! 🚀. How do we get LLMs to cite their sources? GenerationPrograms is attributable by d….
0
32
0
RT @jaew00_lee: 🎉Excited to share that I’ll be starting my CS PhD journey at @UNC @unccs this fall! 🎓.I’ll be working with the renowned @mo….
0
12
0
RT @mohitban47: Welcome Jaewoo to the MURGe-Lab + @uncnlp + @unccs family & the beautiful Chapel Hill + Research Triangle area! 🎉. Looking….
0
8
0
RT @meetdavidwan: Excited to share our new work, CLaMR! 🚀. We tackle multimodal content retrieval by jointly considering video, speech, OCR….
0
62
0
RT @EliasEskin: 🚨 CLATTER treats entailment as a reasoning process, guiding models to follow concrete steps (decomposition, attribution/ent….
0
10
0