← Authors

Allyson Ettinger

30 papers · 2015–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (44) 🔬 Deep Specialist (11) 🧬 Topic Evolution ❓ The Questioner 🔥 Unstoppable (6) 🗃️ Keyword Collector (104) 💎 Century Club (30) ⚡ Prolific Year (7)

Conferences

EMNLP (9) ACL (5) NAACL (3) NIPS (3) COLING (2) ICLR (2) IJCNLP (2) AAAI (1) AACL (1) CONLL (1) EACL (1)

Top co-authors

Liwei Jiang (6) Nouha Dziri (6) Yejin Choi (6) Lang Yu (5) Ximing Lu (4) Philip Resnik (3) Kanishka Misra (3) Lalchand Pandia (3) Kavel Rao (3) Seungju Han (3)

Keywords

pre-trained language model (7) large language model (5) language model (4) representation learning (4) semantic analysis (3) dialogue system (2) property inheritance (2) memory-augmented neural network (2) few-shot learning (2) probing task (2) discourse connective (2) entity tracking (2) transformer model (2) sentence embedding (2) intent classification (1) linguistic annotation (1) logical reasoning (1) coreference resolution (1) language model evaluation (1) anomaly detection (1)

Papers

To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices AAAI 2025
AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text ICLR 2025
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models NIPS 2024
The Generative AI Paradox: “What It Can Create, It May Not Understand” ICLR 2024
WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs NIPS 2024
When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models NAACL 2024
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently EMNLP 2024
Faith and Fate: Limits of Transformers on Compositionality NIPS 2023
Linguistic Productivity: the Case of Determiners in English AACL 2023
Counterfactual reasoning: Testing language models’ understanding of hypothetical scenarios ACL 2023
COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models EACL 2023
Can You Follow Me? Testing Situational Understanding for ChatGPT EMNLP 2023
“You Are An Expert Linguistic Annotator”: Limits of LLMs as Analyzers of Abstract Meaning Representation EMNLP 2023
Linguistic Productivity: the Case of Determiners in English IJCNLP 2023
“No, They Did Not”: Dialogue Response Dynamics in Pre-trained Language Models COLING 2022
On the Interplay Between Fine-tuning and Composition in Transformers ACL 2021
Sorting through the noise: Testing robustness of information processing in pre-trained language models EMNLP 2021
Variation and generality in encoding of syntactic anomaly information in sentence embeddings EMNLP 2021
On the Interplay Between Fine-tuning and Composition in Transformers IJCNLP 2021
Pragmatic competence of pre-trained language models through the lens of discourse connectives EMNLP 2021
Pragmatic competence of pre-trained language models through the lens of discourse connectives CONLL 2021
Assessing Phrasal Representation and Composition in Transformers EMNLP 2020
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks EMNLP 2020
Exploring BERT’s Sensitivity to Lexical Cues using Tests from Semantic Priming EMNLP 2020
PeTra: A Sparsely Supervised Memory Model for People Tracking ACL 2020
Spying on Your Neighbors: Fine-grained Probing of Contextual Embeddings for Information about Surrounding Words ACL 2020
Assessing Composition in Sentence Vector Representations COLING 2018
Proceedings of ACL 2017, Student Research Workshop ACL 2017
Retrofitting Sense-Specific Word Vectors Using Parallel Text NAACL 2016
Dialogue focus tracking for zero pronoun resolution NAACL 2015