Summary of Entropy-regularized Token-level Policy Optimization For Language Agent Reinforcement, by Muning Wen et al.
Entropy-Regularized Token-Level Policy Optimization for Language Agent Reinforcementby Muning Wen, Junwei Liao, Cheng Deng, Jun…
Entropy-Regularized Token-Level Policy Optimization for Language Agent Reinforcementby Muning Wen, Junwei Liao, Cheng Deng, Jun…
Breaking Symmetry When Training Transformersby Chunsheng Zuo, Michael GuerzhoyFirst submitted to arxiv on: 6 Feb…
How do Transformers perform In-Context Autoregressive Learning?by Michael E. Sander, Raja Giryes, Taiji Suzuki, Mathieu…
Learning to Route Among Specialized Experts for Zero-Shot Generalizationby Mohammed Muqeeth, Haokun Liu, Yufan Liu,…
Improving Token-Based World Models with Parallel Observation Predictionby Lior Cohen, Kaixin Wang, Bingyi Kang, Shie…
On Provable Length and Compositional Generalizationby Kartik Ahuja, Amin MansouriFirst submitted to arxiv on: 7…
Neural Networks Learn Statistics of Increasing Complexityby Nora Belrose, Quintin Pope, Lucia Quirke, Alex Mallen,…
Provably learning a multi-head attention layerby Sitan Chen, Yuanzhi LiFirst submitted to arxiv on: 6…
Distinguishing the Knowable from the Unknowable with Language Modelsby Gustaf Ahdritz, Tian Qin, Nikhil Vyas,…
Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classificationby Kushal Tatariya, Heather Lent, Johannes…