Publications

1615 results for Machine Learning

Analysis of docking for binding affinity prediction
- - Raúl Fernández Díaz
  - Denis Shields
  - et al.
- 2024
- ACS Fall 2024
Poster
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
- - Megh Thakkar
  - Quentin Fournier
  - et al.
- 2024
- ACL 2024
Conference paper
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
- - Amit Dhurandhar
  - Tejaswini Pedapati
  - et al.
- 2024
- ACL 2024
Paper
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability
- - Afra Feyza Akyürek
  - Ekin Akyürek
  - et al.
- 2024
- ACL 2024
Paper
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
- - Shreyas Basavatia
  - Keerthiram Murugesan
  - et al.
- 2024
- ACL 2024
Paper
From Zero to Hero: Cold-Start Anomaly Detection
- - Tal Reiss
  - George Kour
  - et al.
- 2024
- ACL 2024
Paper
Duwak: Dual Watermarks in Large Language Models
- - Chaoyi Zhu
  - Jeroen Galjaard
  - et al.
- 2024
- ACL 2024
Paper
NLPeople at TextGraphs-17 Shared Task: Chain of Thought Questioning to Elicit Decompositional Reasoning
- - Movina Moses
  - Vishnudev Kuruvanthodi
  - et al.
- 2024
- ACL 2024
Workshop paper
Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs
- - Lokesh Mishra
  - Sohayl Dhibi
  - et al.
- 2024
- ACL 2024
Workshop paper
Data Contamination Report from the 2024 CONDA Shared Task
- - Oscar Sainz
  - Iker García-ferrero
  - et al.
- 2024
- ACL 2024
Workshop paper