Bing Liu

Researcher, Scale AI

Joined

April 2021

Names

Bing Liu (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Researcher

Scale AI (scale.com)

2024 – Present

Researcher

Facebook (meta.com)

2018 – 2024

PhD student

Carnegie Mellon University (cmu.edu)

2013 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

natural language understanding

dialog system

speech and language processing

Present

Large language models

Present

Publications

RubricRobustness: Evaluating the Sensitivity of Rubrics-Based Benchmarks to Simple Perturbations
Manasi Sharma, Brad Kenstler, Bing Liu
- ICLR 2026 Workshop DATA-FM
- Readers: Everyone
RubricRobustness: Evaluating the Sensitivity of Rubrics-Based Benchmarks to Simple Perturbations
Manasi Sharma, Brad Kenstler, Bing Liu
- ICLR 2026 AIWILD
- Readers: Everyone
SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences?
Udari Madhushani Sehwag, Elaine Lau, Haniyeh Ehsani Oskouie, Shayan Shabihi, Erich Liang, Andrea Sarai Echeverria Toledo, Guillermo A. Mangialardi, Sergio Fonrouge, Ed-Yeremai Hernandez-Cardona, Paula Vergara, Utkarsh Tyagi, Chen Bo Calvin Zhang, Pavi Bhatter, Nicholas E. Johnson, Furong Huang, Ernesto Gabriel Hernández Montoya, Bing Liu
- ICLR 2026 Workshop FM4Science Poster
- Readers: Everyone
Beyond Seeing: Evaluating Multimodal LLMs on Tool-Enabled Image Perception, Transformation, and Reasoning
Xingang Guo, Utkarsh Tyagi, Advait Gosai, Paula Vergara, Jayeon Park, Ernesto Gabriel Hernández Montoya, Chen Bo Calvin Zhang, Bin Hu, Yunzhong He, Bing Liu, Rakshith Sharma Srinivasa
- ICLR 2026 Workshop MM Intelligence Poster
- Readers: Everyone
TutorBench: A Benchmark To Assess Tutoring Capabilities Of Large Language Models
Rakshith Sharma Srinivasa, Zora Che, Chen Bo Calvin Zhang, Diego A. Mares Buendia, Ernesto Gabriel Hernández Montoya, Jayeon Park, Dean Lee, Guillermo A. Mangialardi, Charmaine Ng, Ed-Yeremai Hernandez-Cardona, Anisha Gunjal, Yunzhong He, Bing Liu, Chen Xing
- ICLR 2026 Workshop DATA-FM
- Readers: Everyone
Agentic Rubrics as Contextual Verifiers for SWE Agents
Mohit Raghavendra, Anisha Gunjal, Bing Liu, Yunzhong He
- ICLR 2026 AIWILD
- Readers: Everyone
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
Anisha Gunjal, Anthony Wang, Elaine Lau, Vaskar Nath, Yunzhong He, Bing Liu, Sean M. Hendryx
- NeurIPS 2025 ER Workshop
- Readers: Everyone
MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
Yu Ying Chiu, Michael S. Lee, Rachel Calcott, Brandon Handoko, Paul de Font-Reaulx, Paula Rodriguez, Chen Bo Calvin Zhang, Ziwen Han, Udari Madhushani Sehwag, Yash Maurya, Christina Q Knight, Harry R. Lloyd, Florence Bacus, Mantas Mazeika, Bing Liu, Yejin Choi, Mitchell L Gordon, Sydney Levine
- ICLR 2026 Poster
- Readers: Everyone
Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training
Junkai Zhang, Zihao Wang, Lin Gui, Swarnashree Mysore Sathyendra, Jaehwan Jeong, Victor Veitch, Wei Wang, Yunzhong He, Bing Liu, Lifeng Jin
- ICLR 2026 Poster
- Readers: Everyone
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
Xiang Deng, Jeff Da, Edwin Pan, Yannis Y. He, Charles Ide, Kanak Garg, Niklas Lauffer, Andrew Park, Chetan Rane, Karmini Sampath, Maya Krishnan, Srivatsa R Kundurthy, Sean M. Hendryx, Zifan Wang, Chen Bo Calvin Zhang, Noah Jacobson, Bing Liu, Brad Kenstler
- Submitted to ICLR 2026
- Readers: Everyone

View all 40 publications

Co-Authors

View all 114 co-authors