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TACL 2024: all accepted papers

95 papers · the most cited first · ← TACL 2024

  1. A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practice ↗Juri Opitz
  2. A Survey on Model Compression for Large Language ModelsXunyu Zhu, Jian Li, Yong Liu et al.our summary
  3. ARN: Analogical Reasoning on Narratives ↗Zhivar Sourati, Filip Ilievski, Pia Sommerauer et al.
  4. Addressing Topic Leakage in Cross-Topic Evaluation for Authorship Verification ↗Jitkapat Sawatphol, Can Udomcharoenchaikit, Sarana Nutanong
  5. Addressing the Binning Problem in Calibration Assessment through Scalar Annotations ↗Zhengping Jiang, Anqi Liu, Benjamin Van Durme
  6. AmbiFC: Fact-Checking Ambiguous Claims with Evidence ↗Max Glockner, Ieva Staliūnaitė, James Thorne et al.
  7. An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation ↗Cheng Yang, Guoping Huang, Mo Yu et al.
  8. Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation ↗Lukas Edman, Gabriele Sarti, Antonio Toral et al.
  9. Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMs ↗Harvey Lederman, Kyle Mahowald
  10. Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?Sweta Agrawal, Amin Farajian, Patrick Fernandes et al.our summary
  11. AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning ↗Han Zhou, Xingchen Wan, Ivan Vulić et al.
  12. Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction StrategiesLiangming Pan, Michael Saxon, Wenda Xu et al.our summary
  13. Benchmarking Large Language Models for News SummarizationTianyi Zhang, Faisal Ladhak, Esin Durmus et al.our summary
  14. Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources ↗Jens Lehmann, Dhananjay Bhandiwad, Preetam Gattogi et al.
  15. Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs ↗Tanise Ceron, Neele Falk, Ana Barić et al.
  16. Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts? ↗Cristina Aggazzotti, Nicholas Andrews, Elizabeth Allyn Smith
  17. Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability ↗Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen
  18. Comparing Humans and Large Language Models on an Experimental Protocol Inventory for Theory of Mind Evaluation (EPITOME) ↗Cameron R. Jones, Sean Trott, Benjamin Bergen
  19. Computational Complexity of Natural Morphology Revisited ↗Hajime Senuma, Akiko Aizawa
  20. Conformal Prediction for Natural Language Processing: A Survey ↗Margarida Campos, António Farinhas, Chrysoula Zerva et al.
  21. Conformalizing Machine Translation Evaluation ↗Chrysoula Zerva, André F. T. Martins
  22. Context-Aware Machine Translation with Source Coreference Explanation ↗Huy Hien Vu, Hidetaka Kamigaito, Taro Watanabe
  23. ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI ↗Sarah E. Finch, Jinho D. Choi
  24. CreoleVal: Multilingual Multitask Benchmarks for Creoles ↗Heather Lent, Kushal Tatariya, Raj Dabre et al.
  25. Cultural Adaptation of Recipes ↗Yong Cao, Yova Kementchedjhieva, Ruixiang Cui et al.
  26. DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning ↗Jiaxin Guo, C. L. Philip Chen, Shuzhen Li et al.
  27. Decision-Oriented Dialogue for Human-AI Collaboration ↗Jessy Lin, Nicholas Tomlin, Jacob Andreas et al.
  28. Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey DesignLindia Tjuatja, Valerie Chen, Tongshuang Wu et al.our summary
  29. Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story Evaluation ↗Cyril Chhun, Fabian M. Suchanek, Chloé Clavel
  30. Do Multi-Document Summarization Models Synthesize? ↗Jay DeYoung, Stephanie C. Martinez, Iain J. Marshall et al.
  31. Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension ↗Sweta Agrawal, Marine Carpuat
  32. Do Vision and Language Models Share Concepts? A Vector Space Alignment Study ↗Jiaang Li, Yova Kementchedjhieva, Constanza Fierro et al.
  33. Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation InstructionsJiahuan Li, Hao Zhou, Shujian Huang et al.our summary
  34. Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringVaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu et al.our summary
  35. Evaluating the Ripple Effects of Knowledge Editing in Language Models ↗Roi Cohen, Eden Biran, Ori Yoran et al.
  36. Explicitly Representing Syntax Improves Sentence-to-Layout Prediction of Unexpected Situations ↗Wolf Nuyts, Ruben Cartuyvels, Marie-Francine Moens
  37. Exploring Continual Learning of Compositional Generalization in NLI ↗Xiyan Fu, Anette Frank
  38. Exploring Human-Like Translation Strategy with Large Language ModelsZhiwei He, Tian Liang, Wenxiang Jiao et al.our summary
  39. FINCH: Prompt-guided Key-Value Cache Compression for Large Language Models ↗Giulio Corallo, Paolo Papotti
  40. Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing ↗Nuria Rodríguez-Barroso, Eugenio Martínez Cámara, Jose Camacho Collados et al.
  41. Filtered Corpus Training (FiCT) Shows that Language Models Can Generalize from Indirect Evidence ↗Abhinav Patil, Jaap Jumelet, Yu Ying Chiu et al.
  42. Geographic Adaptation of Pretrained Language Models ↗Valentin Hofmann, Goran Glavaš, Nikola Ljubešić et al.
  43. Hierarchical Indexing for Retrieval-Augmented Opinion Summarization ↗Tom Hosking, Hao Tang, Mirella Lapata
  44. Holmes \ensuremath\recorder A Benchmark to Assess the Linguistic Competence of Language Models ↗Andreas Waldis, Yotam Perlitz, Leshem Choshen et al.
  45. How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?Neha Srikanth, Marine Carpuat, Rachel Rudingerour summary
  46. Hypernetworks for Personalizing ASR to Atypical Speech ↗Max Müller-Eberstein, Dianna Yee, Karren Yang et al.
  47. Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis ↗Sohee Yang, Jonghyeon Kim, Joel Jang et al.
  48. IndoCulture: Exploring Geographically Influenced Cultural Commonsense Reasoning Across Eleven Indonesian Provinces ↗Fajri Koto, Rahmad Mahendra, Nurul Aisyah et al.
  49. Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias ↗Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld et al.
  50. Interactive Machine Teaching by Labeling Rules and Instances ↗Giannis Karamanolakis, Daniel Hsu, Luis Gravaano
  51. Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization ↗George Chrysostomou, Zhixue Zhao, Miles Williams et al.
  52. JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims ↗Fengzhu Zeng, Wei Gao
  53. KoBBQ: Korean Bias Benchmark for Question AnsweringJiho Jin, Jiseon Kim, Nayeon Lee et al.our summary
  54. L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models ↗Ansong Ni, Pengcheng Yin, Yilun Zhao et al.
  55. Language Varieties of Italy: Technology Challenges and Opportunities ↗Alan Ramponi
  56. Large Language Models Enable Few-Shot ClusteringVijay Viswanathan, Kiril Gashteovski, Carolin Lawrence et al.our summary
  57. Lost in the Middle: How Language Models Use Long Contexts ↗Nelson F. Liu, Kevin Lin, John Hewitt et al.
  58. Metric-Free Learning Network with Dual Relations Propagation for Few-Shot Aspect Category Sentiment Analysis ↗Shiman Zhao, Yutao Xie, Wei Chen et al.
  59. Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion ↗Yongxue Shan, Jie Zhou, Jie Peng et al.
  60. Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding ↗Ukyo Honda, Tatsushi Oka, Peinan Zhang et al.
  61. NoviCode: Generating Programs from Natural Language Utterances by Novices ↗Asaf Achi Mordechai, Yoav Goldberg, Reut Tsarfaty
  62. Predicting Human Translation Difficulty with Neural Machine Translation ↗Zheng Wei Lim, Ekaterina Vylomova, Charles Kemp et al.
  63. Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers ↗Melanie Subbiah, Sean Zhang, Lydia B. Chilton et al. · 🏆 TACL 2024 Best Paper
  64. Red Teaming Language Model Detectors with Language Models ↗Zhouxing Shi, Yihan Wang, Fan Yin et al.
  65. Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization ↗Yangyang Zhao, Mehdi Dastani, Jinchuan Long et al.
  66. Retrieval-Pretrained Transformer: Long-range Language Modeling with Self-retrieval ↗Ohad Rubin, Jonathan Berant
  67. Retrieval-style In-context Learning for Few-shot Hierarchical Text Classification ↗Huiyao Chen, Yu Zhao, Zulong Chen et al.
  68. Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering ↗Dingmin Wang, Qiuyuan Huang, Matthew Jackson et al.
  69. Revisiting Meta-evaluation for Grammatical Error Correction ↗Masamune Kobayashi, Masato Mita, Mamoru Komachi
  70. Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased? ↗Vagrant Gautam, Eileen Bingert, Dawei Zhu et al.
  71. SCL: Selective Contrastive Learning for Data-driven Zero-shot Relation Extraction ↗Ning Pang, Xiang Zhao, Weixin Zeng et al.
  72. SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks ↗Xuanli He, Qiongkai Xu, Jun Wang et al.
  73. Scope Ambiguities in Large Language Models ↗Gaurav Kamath, Sebastian Schuster, Sowmya Vajjala et al.
  74. Segmentation-Free Streaming Machine Translation ↗Javier Iranzo-Sánchez, Jorge Iranzo-Sánchez, Adrià Giménez et al.
  75. Self-supervised Topic Taxonomy Discovery in the Box Embedding Space ↗Yuyin Lu, Hegang Chen, Pengbo Mao et al.
  76. Semantics of Multiword Expressions in Transformer-Based Models: A SurveyFilip Miletić, Sabine Schulte im Waldeour summary
  77. Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization ↗Pengtao Xie, Xingchen Zhao, Xuehai He
  78. Source-Free Domain Adaptation for Question Answering with Masked Self-training ↗Maxwell J. Yin, Boyu Wang, Yue Dong et al.
  79. State of What Art? A Call for Multi-Prompt LLM Evaluation ↗Moran Mizrahi, Guy Kaplan, Dan Malkin et al.
  80. TabVer: Tabular Fact Verification with Natural Logic ↗Rami Aly, Andreas Vlachos
  81. Text Attribute Control via Closed-Loop Disentanglement ↗Lei Sha, Thomas Lukasiewicz
  82. Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap ↗Michael Staniek, Raphael Schumann, Maike Züfle et al.
  83. The Causal Influence of Grammatical Gender on Distributional Semantics ↗Karolina Stańczak, Kevin Du, Adina Williams et al.
  84. The Ethics of Automating Legal Actors ↗Josef Valvoda, Alec Thompson, Ryan Cotterell et al.
  85. The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations ↗Aina Garí Soler, Matthieu Labeau, Chloé Clavel
  86. The Thai Discourse Treebank: Annotating and Classifying Thai Discourse ConnectivesPonrawee Prasertsom, Apiwat Jaroonpol, Attapol T. Rutherfordour summary
  87. To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation ↗Jiaming Luo, Colin Cherry, George Foster
  88. Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models ↗Seong-Il Park, Jay-Yoon Lee
  89. Unifying Structured Data as Graph for Data-to-Text Pre-Training ↗Shujie Li, Liang Li, Ruiying Geng et al.
  90. Visually Grounded Speech Models Have a Mutual Exclusivity Bias ↗Leanne Nortje, Dan Oneaţă, Yevgen Matusevych et al.
  91. What Do Self-Supervised Speech Models Know About Words? ↗Ankita Pasad, Chung-Ming Chien, Shane Settle et al.
  92. What Formal Languages Can Transformers Express? A Survey ↗Lena Strobl, William Merrill, Gail Weiss et al.
  93. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsRyo Kamoi, Yusen Zhang, Nan Zhang et al.our summary
  94. mGPT: Few-Shot Learners Go Multilingual ↗Oleh Shliazhko, Alena Fenogenova, Maria Tikhonova et al.
  95. xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error DetectionNuno M. Guerreiro, Ricardo Rei, Daan van Stigt et al.our summary

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