Publications

100 results at NeurIPS 2025

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
Analog Foundation Models
- - Julian Büchel
  - Iason Chalas
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
- - Yanna Ding
  - Songtao Lu
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance
- - Aladin Djuhera
  - Swanand Ravindra Kadhe
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Scalable Evaluation and Neural Models for Compositional Generalization
- - Giacomo Camposampiero
  - Pietro Barbiero
  - 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
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
Dense Associative Memory with Epanechnikov Energy
- - Benjamin Hoover
  - Zhaoyang Shi
  - et al.
- 2025
- NeurIPS 2025
Conference paper