---
title: "CoNLL 2024 — accepted papers — Elamur Research"
description: "CoNLL 2024 — accepted papers: 3 papers in the Elamur Research library (Miami, FL, USA), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/conll/2024/"
---
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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](https://md.research.elamur.ai/free/en/countries/united-states/) · 🗓 November 2024

[**69** papers in the proceedings](#all) · [**3** works in our library](https://md.research.elamur.ai/free/en/venues/conll/2024/#works) · [**7** citations of these works](https://md.research.elamur.ai/free/en/venues/conll/2024/#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 ↗](https://aclanthology.org/2024.conll-1.30/)**Pushpdeep Singh, Mayur Patidar, Lovekesh Vig*12 citations*
2. **[An Empirical Comparison of Vocabulary Expansion and Initialization Approaches For Language Models ↗](https://aclanthology.org/2024.conll-1.8/)**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 ↗](https://aclanthology.org/2024.conll-1.5/)**Guangzhen Yao, Yuehan Wang, Hui Xu et al.*5 citations*
4. **[Revisiting Hierarchical Text Classification: Inference and Metrics ↗](https://aclanthology.org/2024.conll-1.18/)**Roman Plaud, Matthieu Labeau, Antoine Saillenfest et al.*5 citations*
5. **[Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm Detection ↗](https://aclanthology.org/2024.conll-1.25/)**Soumyadeep Jana, Animesh Dey, Ranbir Singh Sanasam*4 citations*
6. **[Explaining the Hardest Errors of Contextual Embedding Based Classifiers ↗](https://aclanthology.org/2024.conll-1.31/)**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 ↗](https://aclanthology.org/2024.conll-1.10/)**Pengfei Yu, Heng Ji*4 citations*
8. **[Lossy Context Surprisal Predicts Task-Dependent Patterns in Relative Clause Processing ↗](https://aclanthology.org/2024.conll-1.4/)**Kate McCurdy, Michael Hahn*4 citations*
9. **[Multi-Cultural Norm Base: Frame-based Norm Discovery in Multi-Cultural Settings ↗](https://aclanthology.org/2024.conll-1.3/)**Viet Thanh Pham, Shilin Qu, Farhad Moghimifar et al.*4 citations*
10. **[Critical Questions Generation: Motivation and Challenges ↗](https://aclanthology.org/2024.conll-1.9/)**Blanca Calvo Figueras, Rodrigo Agerri*3 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 ↗](https://aclanthology.org/2024.conll-1.30/)**Pushpdeep Singh, Mayur Patidar, Lovekesh Vig*12 citations*
2. **[An Empirical Comparison of Vocabulary Expansion and Initialization Approaches For Language Models ↗](https://aclanthology.org/2024.conll-1.8/)**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 ↗](https://aclanthology.org/2024.conll-1.5/)**Guangzhen Yao, Yuehan Wang, Hui Xu et al.*5 citations*
4. **[Revisiting Hierarchical Text Classification: Inference and Metrics ↗](https://aclanthology.org/2024.conll-1.18/)**Roman Plaud, Matthieu Labeau, Antoine Saillenfest et al.*5 citations*
5. **[Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm Detection ↗](https://aclanthology.org/2024.conll-1.25/)**Soumyadeep Jana, Animesh Dey, Ranbir Singh Sanasam*4 citations*
6. **[Explaining the Hardest Errors of Contextual Embedding Based Classifiers ↗](https://aclanthology.org/2024.conll-1.31/)**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 ↗](https://aclanthology.org/2024.conll-1.10/)**Pengfei Yu, Heng Ji*4 citations*
8. **[Lossy Context Surprisal Predicts Task-Dependent Patterns in Relative Clause Processing ↗](https://aclanthology.org/2024.conll-1.4/)**Kate McCurdy, Michael Hahn*4 citations*
9. **[Multi-Cultural Norm Base: Frame-based Norm Discovery in Multi-Cultural Settings ↗](https://aclanthology.org/2024.conll-1.3/)**Viet Thanh Pham, Shilin Qu, Farhad Moghimifar et al.*4 citations*
10. **[Critical Questions Generation: Motivation and Challenges ↗](https://aclanthology.org/2024.conll-1.9/)**Blanca Calvo Figueras, Rodrigo Agerri*3 citations*
11. **[Text2Afford: Probing Object Affordance Prediction abilities of Language Models solely from Text ↗](https://aclanthology.org/2024.conll-1.27/)**Sayantan Adak, Daivik Agrawal, Animesh Mukherjee et al.*3 citations*
12. **[The Effect of Surprisal on Reading Times in Information Seeking and Repeated Reading ↗](https://aclanthology.org/2024.conll-1.17/)**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 ↗](https://aclanthology.org/2024.conll-1.32/)**Shuqi Wang, Xufeng Duan, Zhenguang Cai*2 citations*
14. **[Advancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid Network](https://md.research.elamur.ai/free/en/papers/fang-2024-advancing-arabic-sentiment-analysis-arsen/)**Yang Fang, Cheng Xu, Shuhao Guan et al.*2 citations · our summary*
15. **[CrowdCounter: A benchmark type-specific multi-target counterspeech dataset ↗](https://aclanthology.org/2024.conll-1.37/)**Punyajoy Saha, Abhilash Datta, Abhik Jana et al.*2 citations*
16. **[Generalizations across filler-gap dependencies in neural language models ↗](https://aclanthology.org/2024.conll-1.21/)**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 ↗](https://aclanthology.org/2024.conll-1.40/)**Tyler Malloy, Maria José Ferreira, Fei Fang et al.*2 citations*
18. **[On Functional Competence of LLMs for Linguistic Disambiguation ↗](https://aclanthology.org/2024.conll-1.12/)**Raihan Kibria, Sheikh Intiser Uddin Dipta, Muhammad Abdullah Adnan*2 citations*
19. **[Words That Stick: Using Keyword Cohesion to Improve Text Segmentation ↗](https://aclanthology.org/2024.conll-1.1/)**Amit Maraj, Miguel Vargas Martin, Masoud Makrehchi*2 citations*
20. **[AIStorySimilarity: Quantifying Story Similarity Using Narrative for Search, IP Infringement, and Guided Creativity ↗](https://aclanthology.org/2024.conll-1.13/)**Jon Chun*1 citation*
21. **[EditEval: An Instruction-Based Benchmark for Text Improvements ↗](https://aclanthology.org/2024.conll-1.7/)**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 ↗](https://aclanthology.org/2024.conll-1.29/)**Kohki Tamura, Naoki Yoshinaga, Masato Neishi*1 citation*
23. **[Is Structure Dependence Shaped for Efficient Communication?: A Case Study on Coordination ↗](https://aclanthology.org/2024.conll-1.23/)**Kohei Kajikawa, Yusuke Kubota, Yohei Oseki*1 citation*
24. **[Large Language Model Recall Uncertainty is Modulated by the Fan Effect ↗](https://aclanthology.org/2024.conll-1.24/)**Jesse Roberts, Kyle Moore, Douglas Fisher et al.*1 citation*
25. **[SPAWNing Structural Priming Predictions from a Cognitively Motivated Parser ↗](https://aclanthology.org/2024.conll-1.14/)**Grusha Prasad, Tal Linzen*1 citation*

[See all 69 papers in CoNLL 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/conll/2024/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 Network](https://md.research.elamur.ai/free/en/papers/fang-2024-advancing-arabic-sentiment-analysis-arsen/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/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 Data](https://md.research.elamur.ai/free/en/papers/lucas-2024-curriculum-masking-based-child-language/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/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 Data](https://md.research.elamur.ai/free/en/papers/alkhamissi-2024-dreaming-out-loud-self-synthesis/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/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)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion (1)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Semitic languages (1)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Psycholinguistics & language acquisition (1)](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Fields

[Arts and Humanities (3)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Badr AlKhamissi**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/badr-alkhamissi/)

## Top institutions

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

[🎓**University College Dublin** Dublin · Ireland 1 work here](https://md.research.elamur.ai/free/en/universities/university-college-dublin/) · [🎓**Georgia Institute of Technology** Atlanta · United States 1 work here](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**École Polytechnique Fédérale de Lausanne** Lausanne · Switzerland 1 work here](https://md.research.elamur.ai/free/en/universities/ecole-polytechnique-federale-de-lausanne/)

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

- [← previous CoNLL 2023](https://md.research.elamur.ai/free/en/venues/conll/2023/)
- [next → CoNLL 2025](https://md.research.elamur.ai/free/en/venues/conll/2025/)
- [↑ back to CoNLL](https://md.research.elamur.ai/free/en/venues/conll/)