Publications

1671 results for Machine Learning

Causal LLM Routing: End-to-End Regret Minimization from Observational Data
- - Asterios Tsiourvas
  - Wei Sun
  - et al.
- 2025
- NeurIPS 2025
Conference paper
MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
- - Herbert Woisetschläger
  - Ryan Zhang
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
- - Jie Ren
  - Zhenwei Dai
  - 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
Quantifying policy uncertainty in generative flow networks with uncertain rewards
- - Ramon Nartallo-kaluarachchi
  - Robert Manson Sawko
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
FlowState: Sampling-Rate Invariant Time Series Foundation Model with Dynamic Forecasting Horizons
- - Lars Graf
  - Thomas Bohnstingl
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
MermaidSeqBench: An Evaluation Benchmark for LLM-to-Mermaid Sequence Diagram Generation
- - Basel Shbita
  - Farhan Ahmed
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
Task-driven Sensing with Coarse-to-Fine Glimpse-based Active Perception
- - Oleh Kolner
  - Thomas Bohnstingl
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
When to Reason: Semantic Router for vLLM
- - Chen Wang
  - Xunzhuo Liu
  - et al.
- 2025
- NeurIPS 2025
Workshop paper
When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets
- - Aladin Djuhera
  - Farhan Ahmed
  - et al.
- 2025
- NeurIPS 2025
Workshop paper