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Maximum Likelihood Reinforcement Learning
Fahim Tajwar, Guanning Zeng, Yueer Zhou, Yuda Song, Daman Arora, Yiding Jiang, Jeff Schneider, Ruslan Salakhutdinov, Haiwen Feng, Andrea Zanette
- Published: 03 Mar 2026, Last Modified: 16 Apr 2026
- SPOT
- Readers: Everyone
Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum
Gaotang Li, Ruizhong Qiu, Xiusi Chen, Heng Ji, Hanghang Tong
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
Reuse your FLOPs: Scaling RL on Hard Problems by Conditioning on Very Off-Policy Prefixes
Amrith Setlur, Zijian Wang, Andrew Cohen, Paria Rashidinejad, Sang Michael Xie
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
GEOMA: Geometric and Econometric Objectives for Multi-Reward Alignment
Taneesh Gupta, Pragya Srivastava, Rahul Madhavan, Karthikeyan Shanmugam, Aravindan Raghuveer
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
Entropy-Aware On-Policy Distillation of Language Models
Woogyeol Jin, Taywon Min, Yongjin Yang, Swanand Ravindra Kadhe, Yi Zhou, Dennis Wei, Nathalie Baracaldo, Kimin Lee
- Published: 03 Mar 2026, Last Modified: 01 Apr 2026
- SPOT
- Readers: Everyone
Beyond Scalar Critics: A Distributional Perspective on Reinforcement Learning with Verifiable Rewards for LLMs
Jinyi Liu, Yiboyun Chen, Hongyao Tang, Yi Ma, Shuyue Hu, Yang Chen, Fei Ni, Qiaosheng Zhang, LEI BAI, YAN ZHENG, Jianye HAO
- Published: 03 Mar 2026, Last Modified: 01 Apr 2026
- SPOT
- Readers: Everyone
DGPO: Decoupled Gradient Policy Optimization for RLVR in LLMs
Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Cong Qin, Chaowen Hu, Binbin Zheng, Zekai Shao
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
Efficient and Stable Scaling of Reinforcement Learning for LLMs via Dynamic Allocation and Gradient Modulation
Yangyi Fang, Jiaye Lin, Xiaoliang Fu, Cong Qin, Haolin Shi, Chaowen Hu
- Published: 03 Mar 2026, Last Modified: 31 Mar 2026
- SPOT
- Readers: Everyone
F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare
Daniil Plyusov, Alexey Gorbatovski, Boris Shaposhnikov, Viacheslav Sinii, Alexey Malakhov, Daniil Gavrilov
- Published: 03 Mar 2026, Last Modified: 31 Mar 2026
- SPOT
- Readers: Everyone
Escaping the Mode: Multi Answer Reinforcement Learning in LMs
Isha Puri, Mehul Damani, Idan Shenfeld, Marzyeh Ghassemi, Jacob Andreas, Yoon Kim
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
TestSmith: Reinforcement Learning for Unit Test Generation with Synthetic Perturbations
Stanley Yu, Roger Jin
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
Mix Early, Forget Less: Data Mixing During Pretraining Builds Resistance to Forgetting
Lawrence Feng, Gaurav Rohit Ghosal, Jacob Mitchell Springer, Ziqian Zhong, Aditi Raghunathan
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
When Tokens Decay and Turns Amplify: A Dual-Granularity Framework for Multi-Turn Preference Optimization
Yangyi Fang, Jiaye Lin, Xiaoliang Fu, Haolin Shi, Cong Qin, Chaowen Hu
- Published: 03 Mar 2026, Last Modified: 21 Mar 2026
- SPOT
- Readers: Everyone
NyoomFloat12: Lossless 12-bit Weight Compression for Post-Training Inference
Sylvie Liberman, Tianyi Zhang, Daniel Y Fu
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
Corecraft: Training Generalizable Agents on High-Fidelity RL Environments
Sushant Mehta
- Published: 03 Mar 2026, Last Modified: 08 Mar 2026
- SPOT
- Readers: Everyone
Actor-Curator: Scalable Adaptive Curriculum Learning for LLM Post-Training
Zhengyao Gu, Jonathan Light, Raul Astudillo, Ziyu Ye, Langzhou He, Wei Cheng, Santiago Paternain, Philip S. Yu, Yisong Yue
- Published: 03 Mar 2026, Last Modified: 10 Mar 2026
- SPOT
- Readers: Everyone
Reasoning Cache: Learning to Extrapolate to Long Lengths via Short-Length RL
Ian Wu, Yuxiao Qu, Amrith Setlur, Aviral Kumar
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
RL Excursions during Pre-training: How early is too early for On-policy Learning?
Rachit Bansal, Clara Mohri, Tian Qin, David Alvarez-Melis, Sham M. Kakade
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
Learning Discriminative Process Reward Models without Step Labels
Kingsley Kim, Haolin Liu, Chen-Yu Wei
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
BugPilot: Complex Bug Generation for Efficient Learning of SWE Skills
Atharv Sonwane, Isadora White, Hyunji Lee, Matheus Pereira, Lucas Caccia, Minseon Kim, Zhengyan Shi, Chinmay Singh, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
Reinforcement Learning via Self-Distillation
Jonas Hübotter, Frederike Lübeck, Lejs Deen Behric, Anton Baumann, Marco Bagatella, Daniel Marta, Ido Hakimi, Idan Shenfeld, Thomas Kleine Buening, Carlos Guestrin, Andreas Krause
- Published: 03 Mar 2026, Last Modified: 21 Mar 2026
- SPOT
- Readers: Everyone
On quantizing the state of the Muon optimizer
Aman Gupta, Rafael Celente, Abhishek Shivanna, Daniel Thomas Braithwaite, Gregory Dexter, Shao Tang, Hiroto Udagawa, Daniel Silva, Rohan Ramanath, Sathiya Keerthi
- Published: 03 Mar 2026, Last Modified: 03 Mar 2026
- SPOT
- Readers: Everyone
Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking
Muhammad Khalifa, Zohaib Khan, Omer Tafveez, Hao Peng, Lu Wang
- Published: 03 Mar 2026, Last Modified: 26 Mar 2026
- SPOT
- Readers: Everyone
Sparse Attention for Efficient LLM Reinforcement Learning
Yang Zhou, Ranajoy Sadhukhan, Zhaofeng Sun, Zhuoming Chen, Souvik Kundu, Saket Dingliwal, Sai Muralidhar Jayanthi, Aram Galstyan, Haizhong Zheng, Beidi Chen
- Published: 03 Mar 2026, Last Modified: 23 Mar 2026
- SPOT
- Readers: Everyone
CrispEdit: Low-Curvature Projections for Scalable Non-Destructive LLM Editing
Zarif Ikram, Arad Firouzkouhi, Stephen Tu, Mahdi Soltanolkotabi, Paria Rashidinejad
- Published: 03 Mar 2026, Last Modified: 24 Mar 2026
- SPOT
- Readers: Everyone

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