Sign in

Ofir Press

@ofirpress.bsky.social
681 followers 379 following 24 posts

I develop tough benchmarks for LMs and then I build agents to try and beat those benchmarks. Postdoc @ Princeton University. ofir.io/about

PostsRepliesMedia
Reposted by Ofir Press
klieret.bsky.social @klieret.bsky.social · 08/08/2025
We evaluated the new GPT models with a minimal agent on SWE-bench verified. GPT-5 scores 65%, mini 60%, nano 35%. Still behind Opus 5 (68%), on par with Sonnet 4 (65%). But a lot cheaper, especially mini! Complete cost breakdown + details in 🧵
SWE-bench scores (same as text)
101
Ofir Press @ofirpress.bsky.social · 02/07/2025
Do language models have algorithmic creativity? To find out, we built AlgoTune, a benchmark challenging agents to optimize 100+ algorithms like gzip compression, AES encryption and PCA. Frontier models struggle, finding only surface-level wins. Lots of headroom here! algotune.io
021
Ofir Press @ofirpress.bsky.social · 11/05/2025
I have a post where I talk about how to build good LM benchmarks. I've had to edit the part where I talk about how I think you should try to make your benchmark hard, multiple times now, since LM abilities are accelerating so rapidly.
181
Reposted by Ofir Press
PyTorch @pytorch.org · 05/05/2025
Can language model systems autonomously complete entire tasks end-to-end? In our next Expert Exchange webinar, Ofir Press explores autonomous LM systems for software engineering, featuring SWE-bench & SWE-agent—used by OpenAI, Meta, & more. 🔗 pytorch.org/autonomous-l... #PyTorch #AI #OpenSource
121
Ofir Press @ofirpress.bsky.social · 04/03/2025
I prompted Claude 3.7 to use Javascript to animate a ride in the Kingda Ka rollercoaster at Six Flags in New Jersey. I did not give it any images/videos from the ride, or any other additional info, and it has no web access.
040
Reposted by Ofir Press
Łukasz Langa @lukasz.langa.pl · 24/02/2025
I spent last week in Valtournenche with @antocuni.bsky.social and Hood Chatham and managed to use SPy to accelerate my #Python code in the browser. It's too early for general adoption, but not too early to get excited! lukasz.langa.pl/f37aa97a-9ea...
lukasz.langa.pl
A peek into a possible future of Python in the browser - Łukasz Langa
My Python code was too slow, so I made it faster with Python. For some definition of “Python”.
2196
Ofir Press @ofirpress.bsky.social · 13/02/2025
SWE-agent 1.0 is the open-source SOTA on SWE-bench Lite! Tons of new features: massively parallel runs; cloud-based deployment; extensive configurability with tool bundles; new command line interface & utilities. github.com/swe-agent/sw...
010
Reposted by Ofir Press
Marcin Junczys-Dowmunt (Marian NMT) @marian-nmt.bsky.social · 28/01/2025
Hi, the Microsoft Translator research team is looking for an intern for the summer. If you a PhD student in Machine Translation, Natural Language Processing, or related, check it out: aka.ms/mtintern
aka.ms
Search Jobs | Microsoft Careers
054
Ofir Press @ofirpress.bsky.social · 17/01/2025
SWE-bench Multimodal evaluation code is out now! SWE-bench MM is a new set of JavaScript issues that have a visual component (‘map isn’t rendering correctly’, ‘button text isn’t appearing’). www.swebench.com/sb-cli/
081
Reposted by Ofir Press
Jay Alammar @jayalammar.bsky.social · 13/01/2025
SWE-Bench has been one of the most important tasks measuring the progress of agents tackling software engineering in 2024. I caught up with two of its creators, @ofirpress.bsky.social and Carlos E. Jimenez to share their ideas on the state of LLM-backed agents. www.youtube.com/watch?v=bivZ...
youtube.com
SWE-Bench authors reflect on the state of LLM agents at Neurips 2024
YouTube video by Jay Alammar
032
Ofir Press @ofirpress.bsky.social · 08/01/2025
We just updated the SWE-bench leaderboard with *14* new submissions! Congrats to blackbox.ai & aide.dev on setting new SoTA scores on Lite & Verified! Congrats to Google on your first submission! Credit to John Yang, Carlos E. Jimeneze & Kilian Lieret who maintain SWE-bench/SWE-agent
060
Ofir Press @ofirpress.bsky.social · 02/01/2025
When we started working on SWE-agent the top score on SWE-bench was 2%. I told the team that if we got 6%, we'd have a good paper, and I'd buy everyone gelato. I thought 6% was very ambitious but doable. We ended up getting 12% 🤯 so I cooked dinner for everyone.
040
Reposted by Ofir Press
Jon Barron @jonbarron.bsky.social · 23/12/2024
"A canopy bed galloping across the savanna" #Veo2
0194
Ofir Press @ofirpress.bsky.social · 20/12/2024
Until recently, we didn't have models that were *trained* for tough multi-turn tasks like SWE-bench. My hypothesis: now, with the new Gemini and O3, we're finally seeing how much accuracy can improve when models are trained for these tasks. This is just the beginning!
4110
Ofir Press @ofirpress.bsky.social · 19/12/2024
Cool new benchmark from ETH Zurich for getting agents to program unit tests. swtbench.com
swtbench.com
SWT-Bench: Assessing capabilities at Unit Test Generation
Check out the SWT-Bench leaderboard! SWT-Bench is a benchmark designed to assess the capabilities of large language models and Code Agents in generating unit tests on real-world code repositories, dev...
050
Ofir Press @ofirpress.bsky.social · 18/12/2024
When ChatGPT came out, and for a year afterwards, it seemed like OpenAI had a huge moat that was insurmountable. Now Anthropic is matching their performance, Google and Meta are close, and it seems like the academic/open source community understands how to build these models ->
151
Reposted by Ofir Press
Simon Willison @simonwillison.net · 16/12/2024
The team behind the Chatbot Arena LLM leaderboard just released a new variant: web.lmarena.ai This one tests models on their React, TypeScript and Tailwind abilities. My notes (including a leaked copy of the system prompt) here: simonwillison.net/2024/Dec/16/...
simonwillison.net
WebDev Arena
New leaderboard from the [Chatbot Arena](https://lmarena.ai/) team (formerly known as LMSYS), this time focused on evaluating how good different models are at "web development" - though it turns out t...
0374
Ofir Press @ofirpress.bsky.social · 10/12/2024
We're presenting SWE-agent tomorrow (Wed) at the 11AM poster session, East Exhibit Hall A-C #1000. We're going to talk about a lot of upcoming SWE-agent features. Join @jyangballin @_carlosejimenez @KLieret and me. I also have a bunch of SWE-agent stickers to hand out :)
083
Ofir Press @ofirpress.bsky.social · 07/12/2024
We chatted with Matthew Berman about the origins of SWE-bench / SWE-agent and how we're thinking about the current agent landscape. www.youtube.com/watch?v=fcr8...
youtube.com
SWE-Agent Team Interview - Agents, Programming, and Benchmarks!
YouTube video by Matthew Berman
030
Reposted by Ofir Press
talorab.bsky.social @talorab.bsky.social · 05/12/2024
EnIGMA sets new state-of-the-art results on @stanfordnlp.bsky.social's CyBench, which tasks LMs to find security vulnerabilities. Such Capture The Flag tasks make for challenging benchmarks—demanding high-level reasoning, persistence and adaptability. Even expert humans find them hard!
164
Ofir Press @ofirpress.bsky.social · 04/12/2024
I'm on the academic job market! I develop autonomous systems for: programming, research-level question answering, finding sec vulnerabilities & other useful+challenging tasks. I do this by building frontier-pushing benchmarks and agents that do well on them. See you at NeurIPS!
1224
Ofir Press @ofirpress.bsky.social · 04/12/2024
Super cool work from Daniel Geng: "What happens when you train a video generation model to be conditioned on motion? Turns out you can perform "motion prompting," just like you might prompt an LLM! Doing so enables many different capabilities." motion-prompting.github.io
170
Ofir Press @ofirpress.bsky.social · 03/12/2024
Cool benchmark I found through Twitter. (I am not involved in this work) scalingintelligence.stanford.edu/blogs/kernel...
020
Ofir Press @ofirpress.bsky.social · 03/12/2024
Lots of new SWEbench.com results have just been posted. Congrats everyone on the amazing results!
040
Ofir Press @ofirpress.bsky.social · 01/12/2024
The Amazon thing that summarizes all of the reviews into both a sentence and a bullet point list is so awesome and I wish I could figure out a way to make a benchmark out of it :)
030
Ofir Press @ofirpress.bsky.social · 28/11/2024
Quantized SWE-bench coming soon?
0180
Ofir Press @ofirpress.bsky.social · 25/11/2024
I wrote some thoughts on how to build good LM benchmarks: ofir.io/How-to-Build...
ofir.io
How to Build Good Language Modeling Benchmarks
Building benchmarks is important because they shine a spotlight on the weaknesses of existing language models and so can guide the community on how to improve them.
5778