Transactions of the Association for Computational Linguistics

Papers
(The TQCC of Transactions of the Association for Computational Linguistics is 6. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
QAmeleon: Multilingual QA with Only 5 Examples158
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models150
Neuron-level Interpretation of Deep NLP Models: A Survey96
CreoleVal: Multilingual Multitask Benchmarks for Creoles81
Segmentation-Free Streaming Machine Translation80
A Neighborhood Framework for Resource-Lean Content Flagging74
On Graph-based Reentrancy-free Semantic Parsing72
Explicitly Representing Syntax Improves Sentence-to-Layout Prediction of Unexpected Situations64
Evaluating Transformer Models and Human Behaviors on Chinese Character Naming60
Cross-functional Analysis of Generalization in Behavioral Learning59
Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation55
A Cross-Linguistic Pressure for Uniform Information Density in Word Order51
Hallucinations in Large Multilingual Translation Models42
Multi-task Active Learning for Pre-trained Transformer-based Models38
Direct Speech Translation for Automatic Subtitling32
The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations30
OpenFact: Factuality Enhanced Open Knowledge Extraction27
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews26
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference26
Reasoning over Public and Private Data in Retrieval-Based Systems23
Deuce: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning22
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning22
Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers22
Scope Ambiguities in Large Language Models21
Efficient Long-Text Understanding with Short-Text Models21
Filtered Corpus Training (FiCT) Shows that Language Models Can Generalize from Indirect Evidence21
The Ethics of Automating Legal Actors21
How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?17
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection17
Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization16
Geographic Adaptation of Pretrained Language Models16
FINCH: Prompt-guided Key-Value Cache Compression for Large Language Models16
Addressing Topic Leakage in Cross-Topic Evaluation for Authorship Verification16
Interactive Machine Teaching by Labeling Rules and Instances15
How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structure15
A Survey on Model Compression for Large Language Models14
ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models14
Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision14
Transformers for Tabular Data Representation: A Survey of Models and Applications14
A Survey on Cross-Lingual Summarization13
Erasure of Unaligned Attributes from Neural Representations13
State of What Art? A Call for Multi-Prompt LLM Evaluation13
Abstractive Meeting Summarization: A Survey13
Czech Grammar Error Correction with a Large and Diverse Corpus13
Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?13
Holmes ⌕ A Benchmark to Assess the Linguistic Competence of Language Models11
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design11
IndoCulture: Exploring Geographically Influenced Cultural Commonsense Reasoning Across Eleven Indonesian Provinces10
An Efficient Self-Supervised Cross-View Training For Sentence Embedding10
PASTA: A Dataset for Modeling PArticipant STAtes in Narratives10
Minimum Description Length Recurrent Neural Networks10
Modeling Non-Cooperative Dialogue: Theoretical and Empirical Insights9
OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure9
FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation9
Improving Multitask Retrieval by Promoting Task Specialization9
A Confidence-based Acquisition Model for Self-supervised Active Learning and Label Correction9
What Do Self-Supervised Speech Models Know About Words?8
SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks8
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs8
Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion8
What Formal Languages Can Transformers Express? A Survey7
Addressing the Binning Problem in Calibration Assessment through Scalar Annotations7
Predicting Document Coverage for Relation Extraction7
Visually Grounded Speech Models Have a Mutual Exclusivity Bias7
Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations7
Revisiting Meta-evaluation for Grammatical Error Correction6
Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval6
Word Acquisition in Neural Language Models6
Supervised Gradual Machine Learning for Aspect-Term Sentiment Analysis6
MACSum: Controllable Summarization with Mixed Attributes6
The Parallelism Tradeoff: Limitations of Log-Precision Transformers6
ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI6
FeelingBlue: A Corpus for Understanding the Emotional Connotation of Color in Context6
Rank-Aware Negative Training for Semi-Supervised Text Classification6
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