Bethge Lab
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
Reposted by Bethge Lab
Excited to be in Vienna for #ACL2025 🇦🇹!You'll find @dziadzio.bsky.social and I by our ONEBench poster, so do drop by!
🗓️Wed, July 30, 11-12:30 CET
📍Hall 4/5
I’m also excited to talk about lifelong and personalised benchmarking, data curation and vision-language in general! Let’s connect!
🗓️Wed, July 30, 11-12:30 CET
📍Hall 4/5
I’m also excited to talk about lifelong and personalised benchmarking, data curation and vision-language in general! Let’s connect!
July 27, 2025 at 10:26 PM
Excited to be in Vienna for #ACL2025 🇦🇹!You'll find @dziadzio.bsky.social and I by our ONEBench poster, so do drop by!
🗓️Wed, July 30, 11-12:30 CET
📍Hall 4/5
I’m also excited to talk about lifelong and personalised benchmarking, data curation and vision-language in general! Let’s connect!
🗓️Wed, July 30, 11-12:30 CET
📍Hall 4/5
I’m also excited to talk about lifelong and personalised benchmarking, data curation and vision-language in general! Let’s connect!
🧠🤖 We’re hiring a Postdoc in NeuroAI!
Join CRC1233 "Robust Vision" (Uni Tübingen) to build benchmarks & evaluation methods for vision models, bridging brain & AI. Work with top faculty & shape vision research.
Apply: tinyurl.com/3jtb4an6
#NeuroAI #Jobs
Join CRC1233 "Robust Vision" (Uni Tübingen) to build benchmarks & evaluation methods for vision models, bridging brain & AI. Work with top faculty & shape vision research.
Apply: tinyurl.com/3jtb4an6
#NeuroAI #Jobs
Postdoctoral Researcher (m/f/d, E13 TV-L, 100%)
tinyurl.com
July 3, 2025 at 7:59 AM
🧠🤖 We’re hiring a Postdoc in NeuroAI!
Join CRC1233 "Robust Vision" (Uni Tübingen) to build benchmarks & evaluation methods for vision models, bridging brain & AI. Work with top faculty & shape vision research.
Apply: tinyurl.com/3jtb4an6
#NeuroAI #Jobs
Join CRC1233 "Robust Vision" (Uni Tübingen) to build benchmarks & evaluation methods for vision models, bridging brain & AI. Work with top faculty & shape vision research.
Apply: tinyurl.com/3jtb4an6
#NeuroAI #Jobs
Reposted by Bethge Lab
🧵1/ 🚨 New paper: A Sober Look at Progress in Language Model Reasoning
We re-evaluate recent SFT and RL models for mathematical reasoning and find most gains vanish under rigorous, multi-seed, standardized evaluation.
📊 bethgelab.github.io/sober-reason...
📄 arxiv.org/abs/2504.07086
We re-evaluate recent SFT and RL models for mathematical reasoning and find most gains vanish under rigorous, multi-seed, standardized evaluation.
📊 bethgelab.github.io/sober-reason...
📄 arxiv.org/abs/2504.07086
April 10, 2025 at 3:36 PM
🧵1/ 🚨 New paper: A Sober Look at Progress in Language Model Reasoning
We re-evaluate recent SFT and RL models for mathematical reasoning and find most gains vanish under rigorous, multi-seed, standardized evaluation.
📊 bethgelab.github.io/sober-reason...
📄 arxiv.org/abs/2504.07086
We re-evaluate recent SFT and RL models for mathematical reasoning and find most gains vanish under rigorous, multi-seed, standardized evaluation.
📊 bethgelab.github.io/sober-reason...
📄 arxiv.org/abs/2504.07086
Reposted by Bethge Lab
🧠 Keeping LLMs factually up to date is a common motivation for knowledge editing.
But what would it actually take to support this in practice at the scale and speed the real world demands?
We explore this question and really push the limits of lifelong knowledge editing in the wild.
👇
But what would it actually take to support this in practice at the scale and speed the real world demands?
We explore this question and really push the limits of lifelong knowledge editing in the wild.
👇
April 8, 2025 at 3:32 PM
🧠 Keeping LLMs factually up to date is a common motivation for knowledge editing.
But what would it actually take to support this in practice at the scale and speed the real world demands?
We explore this question and really push the limits of lifelong knowledge editing in the wild.
👇
But what would it actually take to support this in practice at the scale and speed the real world demands?
We explore this question and really push the limits of lifelong knowledge editing in the wild.
👇