Somesh (@someshsingh22) 's Twitter Profile
Somesh

@someshsingh22

RA @adobe | CS PhD @UB & @IIITD CS 22 #bitsg |

ID: 979398768406691840

linkhttps://someshsingh22.github.io/ calendar_today29-03-2018 16:43:57

338 Tweet

739 Followers

1,1K Following

Yaman Kumar Singla (@yamanksingla) 's Twitter Profile Photo

Internship Opportunity at Adobe MDSR Labs We are seeking PhD and MS Research Interns in the fields of NLP, Computer vision, and Behavioral Sciences for Summer 2025 and 6 months. Send your resume to [email protected] Job Posting: acrobat.adobe.com/id/urn:aaid:sc…

Yaman Kumar Singla (@yamanksingla) 's Twitter Profile Photo

We are hiring a Research Scientist in the field of Behavioral Sciences and Machine Learning at Adobe MDSR Labs. Requisites: PhD or equivalent experience Job Description: acrobat.adobe.com/id/urn:aaid:sc…

Somesh (@someshsingh22) 's Twitter Profile Photo

It's really interesting to see the "human difficulty" of sharp positions combined with time pressure still evade most known statistical methods, Na1 was a genius move in hindsight. GG Gukesh D. Looks like SOTA engines still have a great scope ;) #DingGukesh

Yao Fu (@francis_yao_) 's Twitter Profile Photo

Don’t race. Don’t catch up. Don’t play the game. Instead, do rigorous science. Do controlled experiments. Formulate clear hypothesis. Carefully examine alternative hypothesis. Rule out confounders. Listen to the physics of LLM tutorial 10 times and recite every single word of it.

Yoonho Lee (@yoonholeee) 's Twitter Profile Photo

Excited to share our new work on test-time alignment! We introduce HyRe, a fast way to adapt large models (like LLM reward models) to new user preferences without extra training. Paper: arxiv.org/abs/2412.08812

Excited to share our new work on test-time alignment! We introduce HyRe, a fast way to adapt large models (like LLM reward models) to new user preferences without extra training.

Paper: arxiv.org/abs/2412.08812
Somesh (@someshsingh22) 's Twitter Profile Photo

LLMs will solve this in the coming week 😉 Never if you show an incomplete puzzle, either send the PGN or highlight the last move tho 🙃

LLMs will solve this in the coming week 😉
Never if you show an incomplete puzzle, either send the PGN or highlight the last move tho 🙃
Jason Wei (@_jasonwei) 's Twitter Profile Photo

There are traditionally two types of research: problem-driven research and method-driven research. As we’ve seen with large language models and now AlphaEvolve, it should be very clear now that total method-driven research is a huge opportunity. Problem-driven research is nice

heiner (@heinrichkuttler) 's Twitter Profile Photo

We've been using uv a few months now and I've never felt better. I have more energy. My skin is clearer. My eye sight has improved.

Somesh (@someshsingh22) 's Twitter Profile Photo

This, Chained Agents work because we segregate the correct context in the window where LLMs actually understand them. Multi-Agent frameworks combine this with system roles (because of SFT) and tools. This transforms everything into a neat POMDP!