Publications

Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
- - Jie Ren
  - Zhenwei Dai
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Eliciting Reasoning in Language Models with Cognitive Tools
- - Brown Ebouky
  - Andrea Bartezzaghi
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Objective Soups: Multilingual Multi-Task Modeling for Speech Processing
- - A Saif
  - Lisha Chen
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Activated LoRA: Fine-tuned LLMs for Intrinsics
- - Kristjan Greenewald
  - Luis Lastras
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
- - Zhaoxian Wu
  - Quan Xiao
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Dense Associative Memory with Epanechnikov Energy
- - Benjamin Hoover
  - Zhaoyang Shi
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Quantum Doubly Stochastic Transformers
- - Jannis Born
  - Filip Skogh
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
- - Dennis Wei
  - Inkit Padhi
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Multi-Dimensional ML-Pipeline Optimization in Cost-Effective Disaggregated Datacenter
- - Pingyi Huo
  - Anusha Devulapally
  - et al.
- 2025
- MICRO 2025
Conference paper
NetZIP: Algorithm/Hardware Co-design of In-network Lossless Compression for Distributed Large Model Training
- - Jinghan Huang
  - Hyungyo Kim
  - et al.
- 2025
- MICRO 2025
Conference paper