Elliott Ash
24 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (9)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(6)
🧭
Keyword Pioneer
🧬
Topic Evolution
🔥
Unstoppable
(5)
⚡
Prolific Year
(5)
💎
Century Club
(21)
❓
The Questioner
(2)
🗃️
Keyword Collector
(101)
Conferences
ACL (9)
EMNLP (8)
NAACL (3)
ICLR (2)
EACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(10)
text classification
(3)
transfer learning
(2)
named entity recognition
(2)
algorithmic fairness
(2)
social media analysis
(2)
annotator disagreement
(2)
bias mitigation
(2)
information retrieval
(1)
text generation
(1)
document summarization
(1)
chain-of-thought reasoning
(1)
natural language processing
(1)
content moderation
(1)
synthetic data generation
(1)
extractive summarization
(1)
computational linguistics
(1)
markov decision process
(1)
model alignment
(1)
text summarization
(1)
Papers
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
EACL 2026
Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
ACL 2026
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
ACL 2026
Measuring scalar constructs in social science with LLMs
EMNLP 2025
Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
EMNLP 2025
The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure
EMNLP 2025
DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation
NAACL 2025
Variational Best-of-N Alignment
ICLR 2025
The Empirical Variability of Narrative Perceptions of Social Media Texts
EMNLP 2024
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
ACL 2024
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering
ACL 2024
Where Do People Tell Stories Online? Story Detection Across Online Communities
ACL 2024
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
ACL 2024
LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent
ACL 2024
Aligning Large Language Models with Diverse Political Viewpoints
EMNLP 2024
Revisiting Automated Topic Model Evaluation with Large Language Models
EMNLP 2023
Uncovering and Categorizing Social Biases in Text-to-SQL
ACL 2023
The Law and NLP: Bridging Disciplinary Disconnects
EMNLP 2023
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts
NIPS 2023
Human-Guided Fair Classification for Natural Language Processing
ICLR 2023
MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes
ACL 2022
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data
NAACL 2022
Machine Extraction of Tax Laws from Legislative Texts
EMNLP 2021
Proceedings of the Natural Legal Language Processing Workshop 2019
NAACL 2019