Publications

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
Causally Reliable Concept Bottleneck Models
- - Giovanni De Felice
  - Arianna Casanova Flores
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Predictability Enables Parallelization of Nonlinear State Space Models
- - Xavier Gonzalez
  - Leo Kozachkov
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Enhancing UV Spectral Prediction through Auxiliary Task, Curriculum Learning, and Curvature Limitation
- - Hajime Shinohara
  - Akihiro Kishimoto
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Latent Principle Discovery for Language Model Self-Improvement
- - Keshav Ramji
  - Tahira Naseem
  - et al.
- 2025
- NeurIPS 2025
Conference paper