NLP at Tel-Aviv University and Google
Joined June 2011
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Jonathan Berant @ COLM 2026 retweeted
๐ฃ Come check out our work on quantifiably steering model behavior! ๐ฃ
Weโll be presenting a poster at 11am on Wednesday.
Our team at Google is also hiring! If you are working on long-horizon, personalization, or user models, please DM/visit the Google booth/our poster
#COLM
Jonathan Berant @ COLM 2026 retweeted
๐จ ARR is recruiting extra emergency reviewers and emergency Area Chairs (ACs) for this cycle.
Emergency Reviewer Registration:
forms.office.com/Pages/Respoโฆ
Emergency AC Registration:
forms.office.com/Pages/Respoโฆ
Thank you for helping support the ARR review process.
#ARR #ACL #NLProc
Jonathan Berant @ COLM 2026 retweeted
Weโre hiring our first team members!
Well-funded digital health startup building agentic automation for messy, high-friction healthcare ops.
Early traction, big problems, real production workflows.
Looking for insanely strong product minded SWE.
DM me!
(Position is in TLV)
Jonathan Berant @ COLM 2026 retweeted
ืื ืื ื ืืืืืกืื!
ืืืงืื ืืืืขืฆืื ืื ืืื ืืืชืื ืื ืืขืืจืืช.
ืกืืจืืืค ืฆืขืืจ ืืืจื ืกืื ืืฉืืขืืชื. ืืื ืื ืืขืจืืืช ืืืณื ืืืืช ืhealthcare.
ืืืคืฉืื ืืช ืืืื ืืกืื ืืจืืฉืื ืื ืฉืื ื:
ืืคืชืืื ืขื ืืืจืืื ืืฆืื ืืืฆืจืืช ืืืงื, ืฉืืืืืื ืืคืชืืจ ืืขืืืช ืงืฉืืช, ืืืชืขื ืืื ืื ืืืืฉืื ืืืืืณื ืืื ืืคืจืื.
ืืืฉืืื ืฉืืขื ืืื? ืืืื ืื ืื ืืืจ
Jonathan Berant @ COLM 2026 retweeted
๐ฃExcited to finally share our latest work on quantifiably adapting model behavior based on unique preferences ๐ฃ
We teach language models to adjust their clarification behavior using scalar coefficients and find they can generalize to unseen coefficients at inference time!
Jonathan Berant @ COLM 2026 retweeted
My team @GoogleAI is looking for a 2026 research intern in Mountain View! I will be hiring for a project aimed at improving tool-using and search agents via RL training and data generation.
To apply: google.com/about/careers/appโฆ
+ feel free to ping me!
Jonathan Berant @ COLM 2026 retweeted
I had a lot of fun working on this with @JonathanBerant @aya_meltzer
You can find our paper here: arxiv.org/abs/2510.07141
And by the way, the answer (at least based on the sentence) is yes, you can ignore head injuries. But it's a terrible advice
Jonathan Berant @ COLM 2026 retweeted
We have more interesting insights in our paper.
We believe this is a really exciting direction for humans and LLMs comparison. Extending our framework to more structures and more LLMs will certainly lead to additional insights !
Jonathan Berant @ COLM 2026 retweeted
We report 3 additional findings:
1. LLMs similarity to humans on GP structures is higher
2. The similarity of the structures' difficulty ordering to humans increases with model size
3. LLM performs better on easy baseline than on the structures if it's not too strong or too weak
Jonathan Berant @ COLM 2026 retweeted
First, these structures are challenging for LLMs (highest mean accuracy being 0.653).
We noticed 2 interesting facts:
1. Structures straining working memory in humans were easier than structures challenging due to ambiguity.
2. Thinking helps, but once an LLM is strong enough.
Jonathan Berant @ COLM 2026 retweeted
This is what we check. We tested the comprehension of 31 different models from 5 different families on 7 different challenging structures (including 4 types of garden paths, GP).
We also collected human data on these structures to be able to compare human comprehension to LLMs.
Jonathan Berant @ COLM 2026 retweeted
But this is not the only challenging structure for humans. Psycholinguistic research has discovered many different structures that are challenging for humans. We read them slowly and understand them poorly.
But what happens with LLMs? Do they understand them correctly ?
Jonathan Berant @ COLM 2026 retweeted
No head injury is too trivial to be ignored.
What do you think this sentence means ? Can you ignore head injuries ?
This type of sentence is called depth charge sentence and its structure is especially challenging for humans.
Jonathan Berant @ COLM 2026 retweeted
As Transactions on Machine Learning Research (TMLR) grows in number of submissions, we are looking for more reviewers and action editors. Please sign up!
Only one paper to review at a time and <= 6 per year, reviewers report greater satisfaction than reviewing for conferences!
Jonathan Berant @ COLM 2026 retweeted
Great work, everyone! :)
Outstanding paper 3๐: Don't lie to your friends: Learning what you know from collaborative self-play
openreview.net/forum?id=2vDJโฆ
Jonathan Berant @ COLM 2026 retweeted
Outstanding paper 3๐: Don't lie to your friends: Learning what you know from collaborative self-play
openreview.net/forum?id=2vDJโฆ
Jonathan Berant @ COLM 2026 retweeted
๐จ Don't miss this amazing opportunity!
The Schmidt Postdoc Award supports Israeli women pursuing postdocs abroad in math, CS, IE, or EE.
๐ฐ $60K/year | ๐ Top global institutions
๐
Deadline: Aug 15, 2025
๐ schmidtsciences.org/israeli-โฆ
๐ Apply: easychair.org/conferences/?cโฆ
Jonathan Berant @ COLM 2026 retweeted
๐จ ืื ืชืคืกืคืกื ืืช ืืืืืื ืืช:
ืืืืช ืคืืกืืืืง ืืื"ื ืข"ืฉ ืฉืืืื, ืื ืฉืื ืืืชืืืืงื, ืืืขื ืืืืฉื, ืื ืืกืช ืชืขืฉืืื ืื ืืืื ืื ืื ืืกืช ืืฉืื.
๐ฐ 60,000 ืืืืจ ืืฉื ื
๐
ืืืืืื: 15 ืืืืืืกื 2025
๐ schmidtsciences.org/israeli-โฆ
๐ ืืืฉื: easychair.org/conferences/?cโฆ
Jonathan Berant @ COLM 2026 retweeted
[Today 11 am poster E-2804 #ICML2025] Inference-time compute have been instrumental to recent development of LLMs. Can we align our model to better suit a given inference-time procedure? Come check our poster and discuss with @ananthbshankar, @abeirami, @jacobeisenstein, and myself.
