Joykirat
@joykiratsingh
CS PhD Student @unc_ai_group @UNC, advised by. @mohitban47 | ex RF @MSFTResearch
Bạn có thể thích
🚨 Excited to announce TRAAC, an online difficulty-adaptive, attention-based method that handles the tradeoff of under & overthinking in reasoning models to improve both accuracy and efficiency. Underthinking ❌: Models terminate reasoning too early on harder problems, leading…
🚨 Excited to share new work on inferring symbolic world models from observations! OneLife can infer world models in stochastic, complex environments by proposing rules via LLM and reweighting code-based environment laws from observations collected in a single interaction…
How can an agent reverse engineer the underlying laws of an unknown, hostile & stochastic environment in “one life”, without millions of steps + human-provided goals / rewards? In our work, we: 1️⃣ infer an executable symbolic world model (a probabilistic program capturing…
🚨 Excited to share our new work ✨ OneLife ✨, which investigates how an agent can infer executable symbolic world models 🌐 from a single unguided trajectory in a stochastic environment. I’m especially excited about our planning + evaluation contributions: 1️⃣ We support…
How can an agent reverse engineer the underlying laws of an unknown, hostile & stochastic environment in “one life”, without millions of steps + human-provided goals / rewards? In our work, we: 1️⃣ infer an executable symbolic world model (a probabilistic program capturing…
How can an agent reverse engineer the underlying laws of an unknown, hostile & stochastic environment in “one life”, without millions of steps + human-provided goals / rewards? In our work, we: 1️⃣ infer an executable symbolic world model (a probabilistic program capturing…
🚨 New Paper Alert! Introducing SciVideoBench — a comprehensive benchmark for scientific video reasoning! 🔬SciVideoBench: 1. Spans Physics, Chemistry, Biology & Medicine with authentic experimental videos. 2. Features 1,000 challenging MCQs across three reasoning types:…
🚨 Thrilled to introduce Self-Improving Demonstrations (SID) for Goal-Oriented Vision-and-Language Navigation — a scalable paradigm where navigation agents learn to explore by teaching themselves. ➡️ Agents iteratively generate and learn from their own successful trajectories ➡️…
Landed in Montreal 🇨🇦 for #COLM2025 to present my first-author work on task-conditioned mixed-precision quantization: “Task-Circuit Quantization” (Thursday 11am, Poster Session 5). I'm applying to PhD programs this cycle and am excited to chat about this or other interests (LLM…
🚨 Check out our awesome students/postdocs' papers at #COLM2025 and say hi to them (several are on the job market or hiring) --> -- Archiki, David are on the post-PhD job market! -- Elias finished his postdoc & is now faculty at UT-Austin CS and looking to admit PhD students!…
I am attending #COLM2025 🇨🇦 this week to present our work on: Unit Test Generation: 📅 Oct 8th (Wed), 4:30 PM, #79 RAG with conflicting evidence: 📅 Oct 9th (Thu), 11 AM, #71 PS: I'm on the industry job market for RS roles, so you can reach me via DM or in-person to chat! 😄
🚨 Check out our awesome students/postdocs' papers at #COLM2025 and say hi to them (several are on the job market or hiring) --> -- Archiki, David are on the post-PhD job market! -- Elias finished his postdoc & is now faculty at UT-Austin CS and looking to admit PhD students!…
✈️ Arrived at #COLM2025 where I'll be helping to present the following 4 papers. I'm also recruiting multiple PhD students for my new lab at UT Austin -- happy to chat about research, PhD applications, or postdoc openings in my former postdoc lab at UNC! -- Learning to Generate…
🚨 Check out our awesome students/postdocs' papers at #COLM2025 and say hi to them (several are on the job market or hiring) --> -- Archiki, David are on the post-PhD job market! -- Elias finished his postdoc & is now faculty at UT-Austin CS and looking to admit PhD students!…
🚨 Check out our awesome students/postdocs' papers at #COLM2025 and say hi to them (several are on the job market or hiring) --> -- Archiki, David are on the post-PhD job market! -- Elias finished his postdoc & is now faculty at UT-Austin CS and looking to admit PhD students!…
🚨 "Think the right amount" for improving both reasoning accuracy and efficiency! --> Large reasoning models under-adapt = underthink on hard problems and overthink on easy ones --> ✨TRAAC✨ is an online RL, difficulty-adaptive, attention-based compression method that prunes…
🚨 Excited to announce TRAAC, an online difficulty-adaptive, attention-based method that handles the tradeoff of under & overthinking in reasoning models to improve both accuracy and efficiency. Underthinking ❌: Models terminate reasoning too early on harder problems, leading…
🚨 TRAAC uses an online difficulty-adaptive, attention-based compression method to address a core problem in long thinking: an inability to adapt to problem difficulty! Leads to underthinking on hard problems, overthinking on easy ones, reducing accuracy and efficiency. TRAAC…
🚨 Excited to announce TRAAC, an online difficulty-adaptive, attention-based method that handles the tradeoff of under & overthinking in reasoning models to improve both accuracy and efficiency. Underthinking ❌: Models terminate reasoning too early on harder problems, leading…
Models often think too much on easy problems and not enough on harder reasoning problems. Our new method ✨TRAAC✨ fixes this by teaching models to adaptively compress their "thinking budget" to the difficulty of the task during GRPO rollouts. Result? The model uses…
🚨 Excited to announce TRAAC, an online difficulty-adaptive, attention-based method that handles the tradeoff of under & overthinking in reasoning models to improve both accuracy and efficiency. Underthinking ❌: Models terminate reasoning too early on harder problems, leading…
Large reasoning models suffer from under-adaptiveness, which underthink on hard problems and overthink on easy ones. TRAAC addresses this by introducing ✨difficulty calibration and attention-based compression✨→ +8.4% accuracy & +36.8% efficiency! 1️⃣ TRAAC adaptively mitigates…
🚨 Excited to announce TRAAC, an online difficulty-adaptive, attention-based method that handles the tradeoff of under & overthinking in reasoning models to improve both accuracy and efficiency. Underthinking ❌: Models terminate reasoning too early on harder problems, leading…
United States Xu hướng
- 1. #2025MAMAVOTE 1.42M posts
- 2. #KonamiWorldSeriesSweepstakes N/A
- 3. Tyla 17.7K posts
- 4. Fetterman 69.3K posts
- 5. No Kings 152K posts
- 6. Miguel Vick N/A
- 7. Deport Harry Sisson 26.1K posts
- 8. Yung Miami N/A
- 9. Somalia 31K posts
- 10. GTreasury 5,157 posts
- 11. #SpiritDay 1,578 posts
- 12. Dave Dombrowski N/A
- 13. ErgoChair X N/A
- 14. Andrade 6,858 posts
- 15. #thursdayvibes 3,902 posts
- 16. Caresha N/A
- 17. Starting 5 7,896 posts
- 18. Ninja Gaiden 26.2K posts
- 19. #WorldFoodDay 36.8K posts
- 20. Mila 17.8K posts
Bạn có thể thích
-
Avishi
@avgupt -
Aryan Taneja
@TanejaAryan -
Rishit Gupta
@RishitG57144297 -
Prakhar
@pr3khar -
Ritwik Kar
@KuchAlagKar -
Abhishek Goyal
@d_silent_quill -
Mehul |-/
@seaweeddbrainn -
Aditi Gupta
@Itida_99 -
Nandika Jain
@jainnandika -
Samyak 🪔
@SamyakGupta3 -
dhattarwalmohit
@dhattarwalm0hit -
Sushmita
@vsushmita_ -
Bhaskar Gupta
@not_bhaskar -
Karanjot Singh
@_karanjot
Something went wrong.
Something went wrong.