Clement Neo

According to our database, Clement Neo authored at least 10 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Beyond Monoliths: Expert Orchestration for More Capable, Democratic, and Safe Large Language Models.

Philip Quirke, Narmeen Oozeer, Chaithanya Bandi, Amir Abdullah, Jason Hoelscher-Obermaier, Jeff M. Phillips, Joshua Greaves, Clement Neo, Fazl Barez, Shriyash Upadhyay

CoRR, June, 2025

Understanding Refusal in Language Models with Sparse Autoencoders.

Wei Jie Yeo, Nirmalendu Prakash, Clement Neo, Roy Ka-Wei Lee, Erik Cambria, Ranjan Satapathy

CoRR, May, 2025

TinySQL: A Progressive Text-to-SQL Dataset for Mechanistic Interpretability Research.

Philip Quirke, Clement Neo, Abir Harrasse, Dhruv Nathawani, Amir Abdullah

CoRR, March, 2025

Towards Interpreting Visual Information Processing in Vision-Language Models.

Clement Neo, Luke Ong, Philip Torr, Mor Geva, David Krueger, Fazl Barez

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs.

Nguyen Nhat Minh, Andrew Baker, Clement Neo, Allen G. Roush, Andreas Kirsch, Ravid Shwartz-Ziv

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts.

Jacob Haimes, Cenny Wenner, Kunvar Thaman, Vassil Tashev, Clement Neo, Esben Kran, Jason Schreiber

CoRR, 2024

Min P Sampling: Balancing Creativity and Coherence at High Temperature.

Minh Nguyen, Andrew Baker, Andreas Kirsch, Clement Neo

CoRR, 2024

Increasing Trust in Language Models through the Reuse of Verified Circuits.

Philip Quirke, Clement Neo, Fazl Barez

CoRR, 2024

Interpreting Learned Feedback Patterns in Large Language Models.

Luke Marks, Amir Abdullah, Clement Neo, Rauno Arike, David Krueger, Philip Torr, Fazl Barez

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions.

Clement Neo, Shay B. Cohen, Fazl Barez

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024