From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP
EMNLP
(2024)
Publications
Show years
2024
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment
ArXiv
(2024)
Faithfulness Measurable Masked Language Models
ICML
(2024)
Benchmarking Vision Language Models for Cultural Understanding
EMNLP
(2024)
Are self-explanations from Large Language Models faithful?
ACL Findings
(2024)
Learning Action and Reasoning-Centric Image Editing from Videos and Simulations
NeurIPS
(2024)
Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models
arXiv.org
(2024)
Confabulation: The Surprising Value of Large Language Model Hallucinations
(2024)
Scope Ambiguities in Large Language Models
TACL
(2024)
Interpretability Needs a New Paradigm
arXiv.org
(2024)
Universal Adversarial Triggers Are Not Universal
arXiv
(2024)
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
COLM
(2024)
Scope Ambiguities in Large Language Models
Transactions of the Association for Computational Linguistics
(2024)
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
ICML
(2024)
Evaluating In-Context Learning of Libraries for Code Generation
North American Chapter of the Association for Computational Linguistics
(2024)
2023
Qualitative Code Suggestion: A Human-Centric Approach To Qualitative Coding
EMNLP Findings
(2023)
Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness
EMNLP Findings
(2023)
Evaluating In-Context Learning of Libraries for Code Generation
arXiv
(2023)
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations
EMNLP
(2023)
In-Context Learning for Text Classification with Many Labels
GenBench @ EMNLP
(2023)
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
TACL
(2023)
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources
ACL
(2023)
The Impact of Positional Encoding on Length Generalization in Transformers
NeurIPS
(2023)
Are Diffusion Models Vision-And-Language Reasoners?
NeurIPS
(2023)
Syntactic Substitutability as Unsupervised Dependency Syntax
EMNLP
(2023)
Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages
ACL
(2023)
StarCoder: may the source be with you!
TMLR
(2023)
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model
EMNLP Findings
(2023)
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents
EACL
(2023)
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP
Insights from Negative Results in NLP @ EACL
(2023)
How Useful are Educational Questions Generated by Large Language Models?
AIED
(2023)
Investigating Failures to Generalize for Coreference Resolution Models
arXiv
(2023)
Systematic Rectification of Language Models via Dead-end Analysis
ICLR
(2023)
Learning with Rejection for Abstractive Text Summarization
EMNLP
(2023)
Using In-Context Learning to Improve Dialogue Safety
EMNLP Findings
(2023)
Combining Parameter-efficient Modules for Task-level Generalisation
EACL
(2023)
2022
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources
ACL
(2022)
The Curious Case of Absolute Position Embeddings
EMNLP Findings
(2022)
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining
EMNLP Findings
(2022)
Post-hoc Interpretability for Neural NLP: A Survey
ACM Computing Surveys
(2022)
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
TMLR
(2022)
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems
PAIS
(2022)
Question Personalization in an Intelligent Tutoring System
AIED
(2022)
MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification
arXiv
(2022)
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models
ACL
(2022)
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment
ACL Findings
(2022)
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation
ACL Findings
(2022)
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
ICML
(2022)
Does entity abstraction help generative Transformers reason?
Transactions of Machine Learning Research (TMLR)
(2022)
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue
Transactions of Association for Computational Linguistics (TACL 2022)
(2022)
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
NAACL
(2022)
Image Retrieval from Contextual Descriptions
ACL
(2022)
Evaluating Distributional Distortion in Neural Language Modeling
arXiv
(2022)
Combining Modular Skills in Multitask Learning
European Chapter of the Association for Computational Linguistics (EACL)
(2022)
Does entity abstraction help generative Transformers reason?
Transactions of Machine Learning Research (TMLR)
(2022)
Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences
COLING
(2022)
Source-summary Entity Aggregation in Abstractive Summarization
COLING
(2022)
A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques
EMNLP
(2022)
2021
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge
NAACL
(2021)
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
ACL
(2021)
Modeling Event Plausibility with Consistent Conceptual Abstraction
NAACL
(2021)
Characterizing Idioms: Conventionality and Contingency
ACL
(2021)
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
ACM SIGIR
(2021)
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
AAAI
(2021)
On-the-Fly Attention Modulation for Neural Generation
ACL Findings
(2021)
Introduction to the special issue on simplicity in grammar learning
Journal of Language Modelling
(2021)
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization
arXiv
(2021)
On-the-Fly Attention Modularization for Neural Generation
arXiv
(2021)
The Topic Confusion Task: A Novel Scenario for Authorship Attribution
arXiv
(2021)
Systematic Generalization with Edge Transformers
NeurIPS
(2021)
The Power of Prompt Tuning for Low-Resource Semantic Parsing
ACL
(2021)
Compositional Generalization in Dependency Parsing
ACL
(2021)
TopiOCQA: Open-domain Conversational Question Answering with Topic Switching
TACL
(2021)
Visually Grounded Reasoning across Languages and Cultures
EMNLP (Best Paper Award)
(2021)
Modelling Latent Translations for Cross-Lingual Transfer
arXiv
(2021)
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
NeurIPS
(2021)
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages
ACL Findings
(2021)
Understanding by Understanding Not: Modeling Negation in Language Models
NAACL
(2021)
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval
EMNLP
(2021)
Linguistic Dependencies and Statistical Dependence
EMNLP
(2021)
Characterizing Idioms: Conventionality and Contingency
arXiv
(2021)
The Topic Confusion Task: A Novel Scenario for Authorship Attribution
EMNLP Findings
(2021)
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention
arXiv
(2021)
Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering
AKBC
(2021)
The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution
EMNLP
(2021)
Textual Time Travel: A Temporally Informed Approach to Theory of Mind
EMNLP
(2021)
Post-Editing Extractive Summaries by Definiteness Prediction
EMNLP
(2021)
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions
EMNLP
(2021)
Discourse-Aware Unsupervised Summarization for Long Scientific Documents
EACL
(2021)
ADEPT: An Adjective-Dependent Plausibility Task
ACL
(2021)
2020
Optimizing Deeper Transformers on Small Datasets
ACL
(2020)
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT
STARSEM
(2020)
On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs
arXiv
(2020)
An Analysis of Dataset Overlap on Winograd-Style Tasks
COLING
(2020)
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
COLING
(2020)
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
ClinicalNLP @ EMNLP
(2020)
Deconstructing Word Embedding Algorithms
EMNLP
(2020)
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization
EMNLP
(2020)
Factual Error Correction for Abstractive Summarization Models
EMNLP
(2020)
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
EMNLP
(2020)
Multi-Fact Correction in Abstractive Text Summarization
EMNLP
(2020)
StereoSet: Measuring stereotypical bias in pretrained language models
ACL
(2020)
Learning Lexical Subspaces in a Distributional Vector Space
TACL
(2020)
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization
arXiv
(2020)
Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles
SwissText
(2020)
Storage and Computation of Multimorphemic Words in Turkish
CogSci
(2020)
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing
arXiv
(2020)
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle
NAACL
(2020)
Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback
EMNLP Findings
(2020)
Recursive Top-Down Production for Sentence Generation with Latent Trees
EMNLP Findings
(2020)
Measuring Systematic Generalization in Neural Proof Generation with Transformers
NeurIPS
(2020)
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
ACL
(2020)
Probing Linguistic Systematicity
ACL
(2020)
Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions
ACL
(2020)
Statistical Evidence for Learnable Lexical Subclasses in Japanese
Linguistic Inquiry
(2020)
2019
Deconstructing and reconstructing word embedding algorithms
arXiv
(2019)
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text
EMNLP
(2019)
Preventing Posterior Collapse in Sequence VAEs with Pooling
arXiv
(2019)
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
EMNLP
(2019)
Referring Expression Generation Using Entity Profiles
EMNLP
(2019)
Generating Character Descriptions for Automatic Summarization of Fiction
AAAI
(2019)
Learning Multi-Task Communication with Message Passing for Sequence Learning
AAAI
(2019)
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
ACL
(2019)
Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples
NAACL
(2019)
On Variational Learning of Controllable Representations for Text without Supervision
ICML
(2019)
Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement
arXiv
(2019)
A Cross-Domain Transferable Neural Coherence Model
ACL
(2019)
What comes next? Extractive summarization by next-sentence prediction
arXiv
(2019)
Learning Multi-Task Communication with Message Passing
AAAI
(2019)
Evaluating systematicity in neural networks with natural language inference
CogSci
(2019)
Universality and diversity in human song
Science
(2019)
Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning
Top. Cogn. Sci.
(2019)
2018
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss
arXiv
(2018)
Multi-task Learning over Graph Structures
arXiv
(2018)
Contextualized Non-local Neural Networks for Sequence Learning
AAAI
(2018)
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
arXiv
(2018)
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
EMNLP
(2018)
The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
arXiv
(2018)
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
ACL
(2018)
A Knowledge Hunting Framework for Common Sense Reasoning
EMNLP
(2018)
BanditSum: Extractive Summarization as a Contextual Bandit
EMNLP
(2018)
Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers
ACL
(2018)
Coarse Lexical Frame Acquisition at the Syntax–Semantics Interface Using a Latent-Variable PCFG Model
SemEval
(2018)
A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge
NAACL
(2018)
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization
SemEval
(2018)
Constructing a Lexicon of Relational Nouns
LREC
(2018)
Commonsense mining as knowledge base completion? A study on the impact of novelty
arXiv
(2018)
Building a Neural Semantic Parser from a Domain Ontology
arXiv
(2018)
CoQA: A Conversational Question Answering Challenge
TACL
(2018)
Universality and diversity in human song
Science
(2018)
A Hierarchical Neural Attention-based Text Classifier
EMNLP
(2018)
The evolutionary causes of irregularity: Evidence for an irregularization bias in morphological learning
Evolang
(2018)
Learning Typed Entailment Graphs with Global Soft Constraints
TACL
(2018)
Arabic Authorship Attribution
ACM TALLIP
(2018)
2017
World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions
EMNLP
(2017)
Predicting Success in Goal-Driven Human-Human Dialogues
SIGDIAL
(2017)
Detecting Large Concept Extensions for Conceptual Analysis
MLDM
(2017)
Nifty Assignments
ACM SIGCSE Technical Symposium
(2017)
Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
CoNLL
(2017)
Grammar Induction for Minimalist Grammars using Variational Bayesian Inference : A Technical Report
arXiv
(2017)
Computer-Assisted Conceptual Analysis of Textual Data as Applied to Philosophical Corpuses
Digital Humanities Conference
(2017)
Formalizing accessibility using linguistic productivity
MIT Press
(2017)
Syntax-aware Neural Machine Translation Using CCG
arXiv
(2017)
Learning an Executable Neural Semantic Parser
Journal of Computational Linguistics
(2017)
Learning to Paraphrase for Question Answering
EMNLP
(2017)
Learning Structured Natural Language Representations for Semantic Parsing
ACL
(2017)
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
ACL
(2017)
Universal Dependencies to Logical Form with Negation Scope
SemBEaR @ NAACL
(2017)
Universal Semantic Parsing
EMNLP
(2017)
Predicting Target Language CCG Supertags Improves Neural Machine Translation
WMT
(2017)
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
CoNLL
(2017)
Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering
EMNLP
(2017)
2016
Unsupervised learning of VerbNet argument structure
CogSci
(2016)
Evaluating Induced CCG Parsers on Grounded Semantic Parsing
EMNLP
(2016)
Question Answering on Freebase via Relation Extraction and Textual Evidence
ACL
(2016)
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing
INLG
(2016)
Assessing Relative Sentence Complexity using an Incremental CCG Parser
NAACL
(2016)
Transforming Dependency Structures to Logical Forms for Semantic Parsing
TACL
(2016)
2015
Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics, CMCL@NAACL-HLT 2015, Denver, CO, USA, June 4, 2015
CMCL @ NAACL
(2015)
The English Past Tense: Simulations
MIT Press
(2015)
English Derivational Morphology: Simulations
MIT Press
(2015)
Evaluating Models of Computation and Storage in Human Sentence Processing
CogACLL @ ACL
(2015)
A model of rapid phonotactic generalization
EMNLP
(2015)
The causes and consequences explicit in verbs
Language, cognition and neuroscience
(2015)
2014
UvA-DARE (Digital Academic Repository) A Usage-Based Model of Early Grammatical Development A Usage-Based Model of Early Grammatical Development
CMCL @ ACL
(2014)
Large-scale Semantic Parsing without Question-Answer Pairs
TACL
(2014)
Social dialect and men's voice pitch influence women's mate preferences
Evolution and Human Behavior
(2014)
2012
DSS: Text Similarity Using Lexical Alignments of Form, Distributional Semantics and Grammatical Relations
SemEval @ NAACL
(2012)
Word Sketches for Turkish
LREC
(2012)
2011
Frozen Chunks and Generalized Representations: The Case of the English Dative Alternation
BUCLD
(2011)
Dynamic and Static Prototype Vectors for Semantic Composition
IJCNLP
(2011)
An Empirical Study on Compositionality in Compound Nouns
IJCNLP
(2011)
Productivity and Reuse in Language
CogSci
(2011)
Productivity and Reuse in Language: a Developmental Study
CogSci
(2011)
2010
A Corpus Factory for Many Languages
LREC
(2010)
Linking meaning to language: linguistic universals and variation
CogSci
(2010)
2009
Fragment Grammars: Exploring Computation and Reuse in Language
Technical Report
(2009)
2006
Learning English as a Foreign Language in Korea : Does CALL have a place ?
Asian EFL Journal
(2006)
Beyond the argument from design
Evolang
(2006)
2003
Proceedings of 3rd Workshop on NLP and XML (NLPXML-2003) Language Technology and the Semantic Web
NLPXML
(2003)
The NXT Object Model
Technical Report
(2003)
2002
The NITE Object Model Library for Handling Structured Linguistic Annotation on Multimodal Data Sets
NLPXML
(2002)