Sarah Wiegreffe
24 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (5)
π
Conference Polyglot
(7)
π
Academic Marathon
(7)
π
Renaissance Researcher
(5)
π₯
Mega-Team
(23)
π¬
Deep Specialist
(10)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(95)
π
Trend Setter
β‘
Prolific Year
(6)
π
Century Club
(22)
β
The Questioner
π₯
Unstoppable
(8)
Conferences
EMNLP (9)
ACL (5)
NAACL (3)
ICLR (2)
NIPS (2)
EACL (1)
ICML (1)
IJCNLP (1)
Top co-authors
Keywords
large language model
(5)
commonsense reasoning
(3)
language model
(3)
attention mechanism
(3)
in-context learning
(3)
multiple-choice question
(3)
natural language inference
(2)
text generation
(2)
adversarial training
(2)
human-ai interaction
(2)
pretrained language model
(2)
faithful explanation
(2)
recurrent neural network
(2)
plausibility judgment
(2)
explanation generation
(2)
instruction tuning
(2)
model explanation
(2)
multi-label classification
(1)
narrative generation
(1)
commonsense knowledge
(1)
Papers
Can you map it to English? The Role of Cross-Lingual Alignment in the Multilingual Performance of LLMs
EACL 2026
Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of Plausibility
ACL 2026
MIB: A Mechanistic Interpretability Benchmark
ICML 2025
Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
ICLR 2025
On Linear Representations and Pretraining Data Frequency in Language Models
ICLR 2025
Fine-Tune on the Format: First Improving Multiple-Choice Evaluation for Intermediate LLM Checkpoints
ACL 2025
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning
EMNLP 2024
The Art of Saying No: Contextual Noncompliance in Language Models
NIPS 2024
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks
ACL 2024
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
EMNLP 2024
Mechanistic?
EMNLP 2024
Explanation in the Era of Large Language Models
NAACL 2024
Self-Refine: Iterative Refinement with Self-Feedback
NIPS 2023
Editing Common Sense in Transformers
EMNLP 2023
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy
EMNLP 2023
Reframing Human-AI Collaboration for Generating Free-Text Explanations
NAACL 2022
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes
EMNLP 2022
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
EMNLP 2022
Measuring Association Between Labels and Free-Text Rationales
EMNLP 2021
Learning to Faithfully Rationalize by Construction
ACL 2020
Attention is not not Explanation
IJCNLP 2019
Clinical Concept Extraction for Document-Level Coding
ACL 2019
Attention is not not Explanation
EMNLP 2019
Explainable Prediction of Medical Codes from Clinical Text
NAACL 2018