Christopher Potts
82 papers · 2010–2025 · 11 venues · across top CS/AI venues
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Research topics
Machine Learning
(42)
Artificial Intelligence
(40)
Natural Language Processing
(40)
Core AI
(35)
Learning Types
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Applications
(21)
Deep Learning
(20)
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Generation
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Models
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Optimization & Theory
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(7)
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Keywords
language model
(14)
large language model
(10)
causal abstraction
(7)
natural language inference
(7)
causal inference
(6)
information retrieval
(5)
representation learning
(5)
benchmark evaluation
(4)
transfer learning
(4)
image captioning
(4)
text classification
(4)
natural language processing
(4)
neural network
(4)
text generation
(4)
domain adaptation
(3)
named entity recognition
(3)
prompt optimization
(3)
retrieval-augmented generation
(3)
knowledge distillation
(3)
sentiment analysis
(3)
Papers
AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
ICML 2025
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability
JMLR 2025
Causal Interventions Reveal Shared Structure Across English FillerβGap Constructions
EMNLP 2025
Distinguishing fair from unfair compositional generalization tasks
EMNLP 2025
False Friends Are Not Foes: Investigating Vocabulary Overlap in Multilingual Language Models
EMNLP 2025
HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
ICLR 2025
Improving Pretraining Data Using Perplexity Correlations
ICLR 2025
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
ICML 2025
MrT5: Dynamic Token Merging for Efficient Byte-level Language Models
ICLR 2025
AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset
EMNLP 2024
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
NAACL 2024
CausalGym: Benchmarking causal interpretability methods on linguistic tasks
ACL 2024
CommVQA: Situating Visual Question Answering in Communicative Contexts
EMNLP 2024
ContextRef: Evaluating Referenceless Metrics for Image Description Generation
ICLR 2024
Demystifying Verbatim Memorization in Large Language Models
EMNLP 2024
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
ICLR 2024
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
CLeaR 2024
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
EMNLP 2024
GIO: Gradient Information Optimization for Training Dataset Selection
ICLR 2024
I am a Strange Dataset: Metalinguistic Tests for Language Models
ACL 2024
Mission: Impossible Language Models
ACL 2024
MoEUT: Mixture-of-Experts Universal Transformers
NeurIPS 2024
MSCAW-coref: Multilingual, Singleton and Conjunction-Aware Word-Level Coreference Resolution
EMNLP 2024
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
EMNLP 2024
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
NAACL 2024
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations
ACL 2024
Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
EMNLP 2024
ReFT: Representation Finetuning for Language Models
NeurIPS 2024
Retrieval Augmented Spelling Correction for E-Commerce Applications
EMNLP 2024
Updating CLIP to Prefer Descriptions Over Captions
EMNLP 2024
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance
EMNLP 2023
Causal Proxy Models for Concept-based Model Explanations
ICML 2023
CAW-coref: Conjunction-Aware Word-level Coreference Resolution
EMNLP 2023
Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature
ACL 2023
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training
ACL 2023
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
NeurIPS 2023
Lexical Semantics with Large Language Models: A Case Study of English βbreakβ
EACL 2023
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking
ACL 2023
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
EMNLP 2023
Multi-teacher Distillation for Multilingual Spelling Correction
EMNLP 2023
Rigorously Assessing Natural Language Explanations of Neurons
EMNLP 2023
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning
ACL 2023
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
EMNLP 2023
Causal Distillation for Language Models
NAACL 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
NeurIPS 2022
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
NAACL 2022
Concadia: Towards Image-Based Text Generation with a Purpose
EMNLP 2022
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics
EMNLP 2022
Hindsight: Posterior-guided training of retrievers for improved open-ended generation
ICLR 2022
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models
ACL 2022
Inducing Causal Structure for Interpretable Neural Networks
ICML 2022
Systematicity in GPT-3βs Interpretation of Novel English Noun Compounds
EMNLP 2022
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
NeurIPS 2021
Causal Abstractions of Neural Networks
NeurIPS 2021
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
NeurIPS 2021
Dynabench: Rethinking Benchmarking in NLP
NAACL 2021
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
NeurIPS 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis
ACL 2021
Data and Representation for Turkish Natural Language Inference
EMNLP 2020
Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives
CoNLL 2020
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation
EMNLP 2020
Pragmatic Issue-Sensitive Image Captioning
EMNLP 2020
Effective Feature Representation for Clinical Text Concept Extraction
NAACL 2019
Posing Fair Generalization Tasks for Natural Language Inference
EMNLP 2019
Recursive Routing Networks: Learning to Compose Modules for Language Understanding
NAACL 2019
TalkDown: A Corpus for Condescension Detection in Context
EMNLP 2019
Generating Bilingual Pragmatic Color References
NAACL 2018
Mittens: an Extension of GloVe for Learning Domain-Specialized Representations
NAACL 2018
Pragmatically Informative Image Captioning with Character-Level Inference
NAACL 2018
Representing Social Media Users for Sarcasm Detection
EMNLP 2018
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations
COLING 2018
A Fast Unified Model for Parsing and Sentence Understanding
ACL 2016
Learning to Generate Compositional Color Descriptions
EMNLP 2016
A large annotated corpus for learning natural language inference
EMNLP 2015
Text to 3D Scene Generation with Rich Lexical Grounding
ACL 2015
A computational approach to politeness with application to social factors
ACL 2013
Emergence of Gricean Maxims from Multi-Agent Decision Theory
NAACL 2013
Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs
ACL 2013
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
EMNLP 2013
The Life and Death of Discourse Entities: Identifying Singleton Mentions
NAACL 2013
Learning Word Vectors for Sentiment Analysis
ACL 2011
βWas It Good? It Was Provocative.β Learning the Meaning of Scalar Adjectives
ACL 2010