Publications

CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
- - Chen Xiong
  - Pin-Yu Chen
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts
- - Andrea Pugnana
  - Riccardo Massidda
  - et al.
- 2025
- NeurIPS 2025
Conference paper
BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
- - Anna Sokol
  - Elizabeth Daly
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Optimal Estimation of the Best Mean in Multi-Armed Bandits
- - Takayuki Osogami
  - Junya Honda
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Causal LLM Routing: End-to-End Regret Minimization from Observational Data
- - Asterios Tsiourvas
  - Wei Sun
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search
- - Yanbo Wang
  - Zixiang Xu
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Shape it Up! Restoring LLM Safety during Finetuning
- - Shengyun Peng
  - Pin-Yu Chen
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Transformers Learn Faster with Semantic Focus
- - Parikshit Ram
  - Kenneth Clarkson
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
- - Isha Puri
  - Shivchander Sudalairaj
  - et al.
- 2025
- NeurIPS 2025
Conference paper
LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS
- - Wanhua Li
  - Yujie Zhao
  - et al.
- 2025
- NeurIPS 2025
Conference paper