Elliott Ash

Call for Papers: The 4th Annual Zurich Workshop in AI+Economics to be held Dec 5-6, 2025, hosted by ETH Zurich and University of Zurich. illuminating keynote to be given by @testingham (OpenAI) organized with @sergallet @YanagizawaD @joachim_voth Info:…

NYT op-ed by suresh naidu bringing historical and game-theoretical context to the deal made by Columbia with Trump admin. Bleak, but recommended: nytimes.com/2025/07/23/opi…

the openai IMO news hit me pretty heavy this weekend i'm still in the acute phase of the impact, i think i consider myself a professional mathematician (a characterization some actual professional mathematicians might take issue with, but my party my rules) and i don't think i…

Attending NBER SI? At 10:35am tomorrow, @JSockin will present our work with @ellliottt and me showing how your interview process shapes how job seekers form perceptions of you as an employer. These impressions can impact everything from offer acceptance to employee retention!

We open-sourced 99% of US caselaw on @huggingface. Both AI and legal tech companies are selling this data for a high premium. You can simply just build a wrapper around it and freely compete with them now. That is why we love open-source. huggingface.co/datasets/commo…

🚀 Big time! We can finally do LLM RL fine-tuning with rewards and leverage offline/off-policy data! ❌ You want rewards, but GRPO only works online? ❌ You want offline, but DPO is limited to preferences? ✅ QRPO can do both! 🧵Here's how we do it:

We ran a randomized controlled trial to see how much AI coding tools speed up experienced open-source developers. The results surprised us: Developers thought they were 20% faster with AI tools, but they were actually 19% slower when they had access to AI than when they didn't.

Verrrrry intriguing-looking and labor-intensive test of whether LLMs can come up with good scientific ideas. After implementing those ideas, the verdict seems to be "no, not really."

📣📣📣 I am looking for a Research Associate (Predoc) to work on exciting projects in the economics of media and political economy. Please share and apply! For more info: tinyurl.com/hertie-applied…. Deadline: June 31. #econra #econ_ra @econ_ra

Ever wondered what makes language models generate overly verbose, vague, or sycophantic responses? Our new paper investigates these and other idiosyncratic biases in preference models, and presents a simple post-training recipe to mitigate them! Thread below 🧵↓

Check out LEXam, our new Legal Reasoning benchmark! Thanks for the great collaboration @NJingwei, Jakob, Etienne, Yang, Yoan, @YinyaHuang, @akhtarmubashara, Florian, Oliver, Daniel,@LeippoldMarkus, @mrinmayasachan, @Stremitzer_Lab, Christoph Engel, @ellliottt, and @joelniklaus!

In India, judge in-group bias by gender, religion, & caste is minimal. Just Accepted new paper by @ellliottt, @thesamasher, @AditiBhowmick18, S. Bhupatiraju, D. Chen, @gochristoph, @paulnovosad, @BilalSiddiqi zurl.co/NXXnA

Wow! Check out this cool working paper. "War Causes Religiosity" The authors scraped web images of hundreds of thousands of gravestones of deceased Americans. They found that people who were randomly drafted into war are at least 20% more likely to have religious gravestones.

There are so many hallucinated citations in court nowadays, that I'm starting to put together a tracker. Check it out and feel free to send ones that I've missed along. New tabs coming for more categories of AI+Law cases!

Using machine learning to detect corruption Last month on VoxDev, @ellliottt (@ETH_en), @sergallet (@eth_cle) & @T_Giommoni (@UvA_Amsterdam) discussed how machine learning can improve corruption detection and prevention in Brazil: voxdev.org/topic/methods-…

1/6 Can AI-powered “enforcement bots” substitute for class actions? It turns out yes likely leading to major disruptions in the legal system.

1/6 Are robot judges perceived as less fair than human judges? Yes, but minimal human oversight can eliminate this human-AI fairness gap. Check out our new Working Paper “Mitigating the Judicial Human-AI fairness gap.”