Submit to the LM4Sci Workshop @ COLM 2025 in Montreal 🇨🇦
🧠 Large Language Modeling for Scientific Discovery (LM4Sci)
📅 New Deadline: June 30
📢 Notification: July 24
📍 Workshop: Oct 10, 2025
📝 Non-archival short (2–4p) & full (up to 8p) papers welcome!
Submit to the LM4Sci Workshop @ COLM 2025 in Montreal 🇨🇦
🧠 Large Language Modeling for Scientific Discovery (LM4Sci)
📅 New Deadline: June 30
📢 Notification: July 24
📍 Workshop: Oct 10, 2025
📝 Non-archival short (2–4p) & full (up to 8p) papers welcome!
Excited to announce the Large Language Modeling for Scientific Discovery (LM4Sci) workshop at COLM 2025 in Montreal, Canada!
Submission Deadline: June 23
Notification: July 24
Workshop: October 10, 2025
Excited to announce the Large Language Modeling for Scientific Discovery (LM4Sci) workshop at COLM 2025 in Montreal, Canada!
Submission Deadline: June 23
Notification: July 24
Workshop: October 10, 2025
github.com/MilesCranmer...
PySR lets you do high-performance symbolic regression from Python.
Now, you can learn multiple symbolic expressions simultaneously!
Also:
+ Parametric expressions
+ TensorBoard support
+ Improved search
+ Julia-based inference
github.com/MilesCranmer...
PySR lets you do high-performance symbolic regression from Python.
Now, you can learn multiple symbolic expressions simultaneously!
Also:
+ Parametric expressions
+ TensorBoard support
+ Improved search
+ Julia-based inference
Our method, LaSR, conditions mutation/crossover operators on (1) an LLM's general domain knowledge, and (2) LLM-generated abstractions of high-performing programs. (1/2)
Our method, LaSR, conditions mutation/crossover operators on (1) an LLM's general domain knowledge, and (2) LLM-generated abstractions of high-performing programs. (1/2)