Publications

1442 results for Machine Learning

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