Transactions of the Association for Computational Linguistics

Papers
(The TQCC of Transactions of the Association for Computational Linguistics is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
The Ethics of Automating Legal Actors189
Cross-functional Analysis of Generalization in Behavioral Learning164
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models111
Segmentation-Free Streaming Machine Translation90
Transformers for Tabular Data Representation: A Survey of Models and Applications86
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection81
State of What Art? A Call for Multi-Prompt LLM Evaluation77
A Survey of Text Games for Reinforcement Learning Informed by Natural Language69
Erasure of Unaligned Attributes from Neural Representations67
Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval63
Revisiting Meta-evaluation for Grammatical Error Correction62
T 2 -NER: A Two-Stage Span-Based Framework for Unified Named Entity Recognition with Templates54
The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation45
A Survey on Automated Fact-Checking40
Benchmarking the Generation of Fact Checking Explanations39
Time-Aware Language Models as Temporal Knowledge Bases39
Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression35
DEAR: Disentangled Event-Agnostic Representation Learning for Early Fake News Detection34
Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing32
Retrieval-Pretrained Transformer: Long-range Language Modeling with Self-retrieval31
Learning English with Peppa Pig31
Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations28
Federated Learning for Exploiting Annotators’ Disagreements in Natural Language Processing28
Do Multi-Document Summarization Models Synthesize?27
Context-Aware Machine Translation with Source Coreference Explanation25
How to Dissect a Muppet: The Structure of Transformer Embedding Spaces25
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation24
Compositional Evaluation on Japanese Textual Entailment and Similarity23
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets22
Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation22
Scientia Potentia Est—On the Role of Knowledge in Computational Argumentation21
An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation21
Morphology Without Borders: Clause-Level Morphology21
Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off19
Conformal Prediction for Natural Language Processing: A Survey18
Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models17
True Few-Shot Learning with Prompts—A Real-World Perspective16
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains16
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale16
ProoFVer: Natural Logic Theorem Proving for Fact Verification16
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition16
Template-based Abstractive Microblog Opinion Summarization15
Questions Are All You Need to Train a Dense Passage Retriever15
Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering15
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks14
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation14
Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis14
InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions14
Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation13
OpenFact: Factuality Enhanced Open Knowledge Extraction13
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models12
Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?11
Interactive Machine Teaching by Labeling Rules and Instances11
Neuron-level Interpretation of Deep NLP Models: A Survey11
Efficient Long-Text Understanding with Short-Text Models11
Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems10
Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations10
MENLI: Robust Evaluation Metrics from Natural Language Inference10
Addressing the Binning Problem in Calibration Assessment through Scalar Annotations10
ABNIRML: Analyzing the Behavior of Neural IR Models10
A Confidence-based Acquisition Model for Self-supervised Active Learning and Label Correction10
Explainable Abuse Detection as Intent Classification and Slot Filling9
Investigating Critical Period Effects in Language Acquisition through Neural Language Models9
Learning Fair Representations via Rate-Distortion Maximization9
Modeling Emotion Dynamics in Song Lyrics with State Space Models9
Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization8
Time-and-Space-Efficient Weighted Deduction8
PaniniQA: Enhancing Patient Education Through Interactive Question Answering8
Is My Model Using the Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning8
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark8
How “Real” is Your Real-Time Simultaneous Speech-to-Text Translation System?8
Self-Rationalization in the Wild: A Large-scale Out-of-Distribution Evaluation on NLI-related tasks8
xcomet : Transparent Machine Translation Evaluation through Fine-grained Error Detection7
Large Language Models Enable Few-Shot Clustering7
Sub-Character Tokenization for Chinese Pretrained Language Models7
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding7
End-to-end Argument Mining with Cross-corpora Multi-task Learning7
Helpful Neighbors: Leveraging Neighbors in Geographic Feature Pronunciation7
Data-driven Parsing Evaluation for Child-Parent Interactions7
Data-to-text Generation with Variational Sequential Planning7
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