✴️ Pleased to introduce our new paper yining610.github.io/dynamic-rew... - Rebalance multiobjectives during training through dynamic reward weighting - Build Pareto-dominant front over static baselines across online RL algorithms, datasets, and model families - Faster convergence rate 1/8

Can't make it to #ACL2025 this year, but for people interested in RL for factuality and textual decomposition, please check out our paper! TL;DR: We found a mismatch between the decomposition policy and LLM verifier, and propose a dynamic training paradigm to bridge the gap.

Pleased to share that two papers were accepted to #ACL2025 main! Huge congratulations to all collaborators for the hard work and time we put in together! 1. Dynamic Decomposition: arxiv.org/abs/2503.15354 2. RATIONALYST: arxiv.org/abs/2410.01044 Both works study the mulit-model collobration!

Quick reminder that our paper, Benchmarking Language Model Creativity: A Case Study on Code Generation, will be presented today! 📅 11AM-12:30PM, Fri, May 2 📍 Hall 3 📝 arxiv.org/abs/2407.09007 🎥 www.youtube.com/watch?v=v1c...

Highlighting our #NAACL2025 papers 🧵🧵🧵

I will be at #NAACL2025 to present our LLM creativity benchmark. Drop by if interested (Poster Session 8, Fri, May 2)! I'd love to chat about RL and its interpretability, data influence for post-training, CogSci for LLM. Feel free to reach out and let's have some coffee together ☕ !

A video teaser of @Yining__Lu 's paper: www.youtube.com/watch?v=v1c...

Midwest Speech and Language Days will be held Apr 15-16 at @NotreDame! Abstract submissions are due Mar 20, and registration deadline is Mar 27. Financial assistance for students (lodging, poster printing) is available. nlp.nd.edu/msld25

A starter pack for #NLP #NLProc researchers! 🎉 go.bsky.app/SngwGeS