Transactions of the Association for Computational Linguistics

Papers
(The TQCC of Transactions of the Association for Computational Linguistics is 11. 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 2021-12-01 to 2025-12-01.)
ArticleCitations
The Ethics of Automating Legal Actors478
Overcoming Source Object Grounding for Semantic Image Editing250
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models203
KEFT: Knowledge-Enhanced Fine-Tuning for Large Language Models in Domain-Specific Question Answering202
DARE: Diverse Visual Question Answering with Robustness Evaluation180
Cross-functional Analysis of Generalization in Behavioral Learning131
Segmentation-Free Streaming Machine Translation96
Transformers for Tabular Data Representation: A Survey of Models and Applications95
State of What Art? A Call for Multi-Prompt LLM Evaluation92
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection91
Persona-Aware Alignment Framework for Personalized Dialogue Generation86
Erasure of Unaligned Attributes from Neural Representations85
Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval77
Revisiting Meta-evaluation for Grammatical Error Correction75
A Survey of Text Games for Reinforcement Learning Informed by Natural Language71
T 2 -NER: A Two-Stage Span-Based Framework for Unified Named Entity Recognition with Templates67
The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation65
A Survey on Automated Fact-Checking58
Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing57
Context-Aware Machine Translation with Source Coreference Explanation55
Federated Learning for Exploiting Annotators’ Disagreements in Natural Language Processing52
Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation51
mtRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems50
Do Multi-Document Summarization Models Synthesize?49
Learning English with Peppa Pig49
Benchmarking the Generation of Fact Checking Explanations44
DEAR: Disentangled Event-Agnostic Representation Learning for Early Fake News Detection44
Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression44
Retrieval-Pretrained Transformer: Long-range Language Modeling with Self-retrieval42
Time-Aware Language Models as Temporal Knowledge Bases40
Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations39
How to Dissect a Muppet: The Structure of Transformer Embedding Spaces36
Few-Shot Multilingual Open-Domain QA from Five Examples35
Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation35
Scientia Potentia Est—On the Role of Knowledge in Computational Argumentation34
Compositional Evaluation on Japanese Textual Entailment and Similarity32
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets31
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation31
Adversarial Defense without Adversarial Defense : Enhancing Language Model Robustness via Instance-level Principal Component Removal31
Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art30
Morphology Without Borders: Clause-Level Morphology27
An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation26
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition25
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale25
Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models25
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains25
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?24
Accurate and Efficient Fine-Tuning of Quantized Large Language Models Through Optimal Balance in Adaptation24
Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off24
Questions Are All You Need to Train a Dense Passage Retriever24
Are Triggers Needed for Document-Level Event Extraction?24
ProoFVer: Natural Logic Theorem Proving for Fact Verification23
Conformal Prediction for Natural Language Processing: A Survey22
Template-based Abstractive Microblog Opinion Summarization22
True Few-Shot Learning with Prompts—A Real-World Perspective21
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks20
Prompt Contrastive Transformation: An Enhanced Strategy for Efficient Prompt Transfer in Natural Language Processing20
Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models19
Navigating the Landscape of Hint Generation Research: From the Past to the Future18
Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation17
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation16
InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions16
Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering16
Neuron-level Interpretation of Deep NLP Models: A Survey15
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation15
Efficient Long-Text Understanding with Short-Text Models15
OpenFact: Factuality Enhanced Open Knowledge Extraction15
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models15
Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis15
Interactive Machine Teaching by Labeling Rules and Instances14
Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?14
A Confidence-based Acquisition Model for Self-supervised Active Learning and Label Correction13
Objectifying the Subjective: Cognitive Biases in Topic Interpretations13
MENLI: Robust Evaluation Metrics from Natural Language Inference13
Sense-specific Historical Word Usage Generation13
ABNIRML: Analyzing the Behavior of Neural IR Models13
Addressing the Binning Problem in Calibration Assessment through Scalar Annotations13
Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations13
Learning Fair Representations via Rate-Distortion Maximization12
BharatBBQ: A Multilingual Bias Benchmark for Question Answering in the Indian Context12
Explainable Abuse Detection as Intent Classification and Slot Filling12
Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems12
NLP Security and Ethics, in the Wild11
Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs11
Investigating Critical Period Effects in Language Acquisition through Neural Language Models11
TaxoPro: A Plug-In LoRA-based Cross-Domain Method for Low-Resource Taxonomy Completion11
Modeling Emotion Dynamics in Song Lyrics with State Space Models11
Is My Model Using the Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning11
Adding Chocolate to Mint : Mitigating Metric Interference in Machine Translation11
How “Real” is Your Real-Time Simultaneous Speech-to-Text Translation System?11
Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation11
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