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CoNLL 2024 — accepted papers

CoNLL 2024 is the 2024 edition of the Conference on Computational Natural Language Learning (CoNLL), held in Miami, FL, USA, November 2024 (publisher: Association for Computational Linguistics). The ACL Anthology lists 69 papers of it; our library holds 3 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Miami, FL, United States · 🗓 November 2024

 69papers in the proceedings 3works in our library 7citations of these works

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. Translating Across Cultures: LLMs for Intralingual Cultural Adaptation ↗Pushpdeep Singh, Mayur Patidar, Lovekesh Vig12 citations
  2. An Empirical Comparison of Vocabulary Expansion and Initialization Approaches For Language Models ↗Nandini Mundra, Aditya Nanda Kishore Khandavally, Raj Dabre et al.5 citations
  3. Global-Pruner: A Stable and Efficient Pruner for Retraining-Free Pruning of Encoder-Based Language Models ↗Guangzhen Yao, Yuehan Wang, Hui Xu et al.5 citations
  4. Revisiting Hierarchical Text Classification: Inference and Metrics ↗Roman Plaud, Matthieu Labeau, Antoine Saillenfest et al.5 citations
  5. Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm Detection ↗Soumyadeep Jana, Animesh Dey, Ranbir Singh Sanasam4 citations
  6. Explaining the Hardest Errors of Contextual Embedding Based Classifiers ↗Claudio Moisés Valiense De Andrade, Washington Cunha, Guilherme Fonseca et al.4 citations
  7. Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy ↗Pengfei Yu, Heng Ji4 citations
  8. Lossy Context Surprisal Predicts Task-Dependent Patterns in Relative Clause Processing ↗Kate McCurdy, Michael Hahn4 citations
  9. Multi-Cultural Norm Base: Frame-based Norm Discovery in Multi-Cultural Settings ↗Viet Thanh Pham, Shilin Qu, Farhad Moghimifar et al.4 citations
  10. Critical Questions Generation: Motivation and Challenges ↗Blanca Calvo Figueras, Rodrigo Agerri3 citations

All accepted papers (69)

The most cited first; 3 with our summary link to their page here, the others to the original.

  1. Translating Across Cultures: LLMs for Intralingual Cultural Adaptation ↗Pushpdeep Singh, Mayur Patidar, Lovekesh Vig12 citations
  2. An Empirical Comparison of Vocabulary Expansion and Initialization Approaches For Language Models ↗Nandini Mundra, Aditya Nanda Kishore Khandavally, Raj Dabre et al.5 citations
  3. Global-Pruner: A Stable and Efficient Pruner for Retraining-Free Pruning of Encoder-Based Language Models ↗Guangzhen Yao, Yuehan Wang, Hui Xu et al.5 citations
  4. Revisiting Hierarchical Text Classification: Inference and Metrics ↗Roman Plaud, Matthieu Labeau, Antoine Saillenfest et al.5 citations
  5. Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm Detection ↗Soumyadeep Jana, Animesh Dey, Ranbir Singh Sanasam4 citations
  6. Explaining the Hardest Errors of Contextual Embedding Based Classifiers ↗Claudio Moisés Valiense De Andrade, Washington Cunha, Guilherme Fonseca et al.4 citations
  7. Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy ↗Pengfei Yu, Heng Ji4 citations
  8. Lossy Context Surprisal Predicts Task-Dependent Patterns in Relative Clause Processing ↗Kate McCurdy, Michael Hahn4 citations
  9. Multi-Cultural Norm Base: Frame-based Norm Discovery in Multi-Cultural Settings ↗Viet Thanh Pham, Shilin Qu, Farhad Moghimifar et al.4 citations
  10. Critical Questions Generation: Motivation and Challenges ↗Blanca Calvo Figueras, Rodrigo Agerri3 citations
  11. Text2Afford: Probing Object Affordance Prediction abilities of Language Models solely from Text ↗Sayantan Adak, Daivik Agrawal, Animesh Mukherjee et al.3 citations
  12. The Effect of Surprisal on Reading Times in Information Seeking and Repeated Reading ↗Keren Gruteke Klein, Yoav Meiri, Omer Shubi et al.3 citations
  13. A Multimodal Large Language Model “Foresees” Objects Based on Verb Information but Not Gender ↗Shuqi Wang, Xufeng Duan, Zhenguang Cai2 citations
  14. Advancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid NetworkYang Fang, Cheng Xu, Shuhao Guan et al.2 citations · our summary
  15. CrowdCounter: A benchmark type-specific multi-target counterspeech dataset ↗Punyajoy Saha, Abhilash Datta, Abhik Jana et al.2 citations
  16. Generalizations across filler-gap dependencies in neural language models ↗Katherine Howitt, Sathvik Nair, Allison Dods et al.2 citations
  17. Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content ↗Tyler Malloy, Maria José Ferreira, Fei Fang et al.2 citations
  18. On Functional Competence of LLMs for Linguistic Disambiguation ↗Raihan Kibria, Sheikh Intiser Uddin Dipta, Muhammad Abdullah Adnan2 citations
  19. Words That Stick: Using Keyword Cohesion to Improve Text Segmentation ↗Amit Maraj, Miguel Vargas Martin, Masoud Makrehchi2 citations
  20. AIStorySimilarity: Quantifying Story Similarity Using Narrative for Search, IP Infringement, and Guided Creativity ↗Jon Chun1 citation
  21. EditEval: An Instruction-Based Benchmark for Text Improvements ↗Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang et al.1 citation
  22. Further Compressing Distilled Language Models via Frequency-aware Partial Sparse Coding of Embeddings ↗Kohki Tamura, Naoki Yoshinaga, Masato Neishi1 citation
  23. Is Structure Dependence Shaped for Efficient Communication?: A Case Study on Coordination ↗Kohei Kajikawa, Yusuke Kubota, Yohei Oseki1 citation
  24. Large Language Model Recall Uncertainty is Modulated by the Fan Effect ↗Jesse Roberts, Kyle Moore, Douglas Fisher et al.1 citation
  25. SPAWNing Structural Priming Predictions from a Cognitively Motivated Parser ↗Grusha Prasad, Tal Linzen1 citation

See all 69 papers in CoNLL 2024 — accepted papers →

 Papers with our summary in our library (3)

The most cited first (OpenAlex citations plus our library's).

  1. Advancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid NetworkConference on Computational Natural Language Learning (CoNLL)Yang Fang, Cheng Xu, Shuhao Guan, et al.2024 · 4 citations
  2. Using Curriculum Masking Based on Child Language Development to Train a Large Language Model with Limited Training DataConference on Computational Natural Language Learning (CoNLL)Evan Lucas, Dylan Gaines, Tagore Rao Kosireddy, et al.2024 · 2 citations
  3. Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible DataConference on Computational Natural Language Learning (CoNLL)Badr AlKhamissi, Yingtian Tang, Abdülkadir Gökce, et al.2024 · 1 citation

 Top topics

Topics of its works in our library, with the number of works on each.

Language models & pretraining (2)Sentiment & emotion (1)Evaluation & benchmarks (1)Semitic languages (1)Psycholinguistics & language acquisition (1)Vision & language (1)

 Fields

Arts and Humanities (3)Computer Science (2)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🧑‍🔬Badr AlKhamissi1 work here · 1 citation

 Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University College DublinDublin · Ireland1 work here🎓Georgia Institute of TechnologyAtlanta · United States1 work here🎓École Polytechnique Fédérale de LausanneLausanne · Switzerland1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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