QuRating: Selecting High-Quality Data for Training Language Models. - Alexander Wettig; Aatmik Gupta; Saumya Malik; Danqi Chen 001 (ICML, 2024)

Lost in the Logic: An Evaluation of Large Language Models' Reasoning Capabilities on LSAT Logic Games. - Saumya Malik (CoRR, 2024)

TÜLU 3: Pushing Frontiers in Open Language Model Post-Training. - Nathan Lambert 001; Jacob Morrison; Valentina Pyatkin; Shengyi Huang; Hamish Ivison; Faeze Brahman; Lester James V. Miranda; Alisa Liu; Nouha Dziri; Shane Lyu; Yuling Gu; Saumya Malik; et al. (CoRR, 2024)

2 OLMo 2 Furious. - Team OLMo; Pete Walsh; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Shane Arora; Akshita Bhagia; Yuling Gu; Shengyi Huang; Matt Jordan; Nathan Lambert 001; Dustin Schwenk; et al. (CoRR, 2025)

RewardBench 2: Advancing Reward Model Evaluation. - Saumya Malik; Valentina Pyatkin; Sander Land; Jacob Morrison; Noah A. Smith; Hannaneh Hajishirzi; Nathan Lambert 001 (CoRR, 2025)

Generalizing Verifiable Instruction Following. - Valentina Pyatkin; Saumya Malik; Victoria Graf; Hamish Ivison; Shengyi Huang; Pradeep Dasigi; Nathan Lambert 001; Hannaneh Hajishirzi (CoRR, 2025)