Daniel Shao (@danielstupid) 's Twitter Profile
Daniel Shao

@danielstupid

ID: 3182592199

calendar_today02-05-2015 07:12:13

45 Tweet

27 Followers

213 Following

Rob Tang (@xiangrutang) 's Twitter Profile Photo

Excited to share our latest work BC-Design - a new framework for highly accurate inverse protein folding that achieves unprecedented 88.37% sequence recovery rate (previous SOTA achieved 67%)! 🧬 To put this in perspective, the field's progress on CATH 4.2 benchmark:

Excited to share our latest work BC-Design - a new framework for highly accurate inverse protein folding that achieves unprecedented 88.37% sequence recovery rate (previous SOTA achieved 67%)! 🧬 

To put this in perspective, the field's progress on CATH 4.2 benchmark:
Jiayi Zhang @ICLR2025 (@didiforx) 's Twitter Profile Photo

Reasoning models lack atomic thought ⚛️ Unlike humans using independent units, they store full histories🤔 Introducing Atom of Thoughts (AOT): lifts gpt-4o-mini to 80.6% F1 on HotpotQA, surpassing o3-mini and DeepSeek-R1 ! The best part? It's plugs in for ANY framework 🔌 1/5

Reasoning models lack atomic thought ⚛️

Unlike humans using independent units, they store full histories🤔

Introducing Atom of Thoughts (AOT): lifts gpt-4o-mini to 80.6% F1 on HotpotQA, surpassing o3-mini and DeepSeek-R1 !

The best part? It's plugs in for ANY framework 🔌
1/5
MetaGPT (@metagpt_) 's Twitter Profile Photo

20 Months: 0 → 7 papers (2 ICLR orals) & 40+ institution collabs. With a clear vision, we're building the open-source foundation for tomorrow's agents. We also release MGX (mgx.dev) and commit to open-source its core soon. Check threads for what we've built! 1/8

20 Months: 0 → 7 papers (2 ICLR orals) & 40+ institution collabs.
With a clear vision, we're building the open-source foundation for tomorrow's agents.
We also release MGX (mgx.dev) and commit to open-source its core soon.
Check threads for what we've built!
1/8
Jiayi Zhang @ICLR2025 (@didiforx) 's Twitter Profile Photo

No fortress, purely open ground. Manus 👋. We open-sourced its core feature in 2 hours after dinner. Check it out 👇: github.com/mannaandpoem/O… 1/4

Michael Moor (@michael_d_moor) 's Twitter Profile Photo

🧵1/ ✨New preprint ✨ LLMs are getting better at answering medical questions. However, they still struggle to spot and fix errors in their own reasoning. That’s a big problem in medicine, where stakes are high and mistakes at any step could be critical. To address this issue,

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✨New preprint ✨
LLMs are getting better at answering medical questions.
However, they still struggle to spot and fix errors in their own reasoning.

That’s a big problem in medicine, where stakes are high and mistakes at any step could be critical.

To address this issue,
Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody–Antigen Affinity Ranking 1.AbRank introduces a large-scale benchmark for antibody–antigen (Ab–Ag) affinity prediction, reframing the task as pairwise ranking rather than regression. This design improves

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody–Antigen Affinity Ranking

1.AbRank introduces a large-scale benchmark for antibody–antigen (Ab–Ag) affinity prediction, reframing the task as pairwise ranking rather than regression. This design improves