📰 CoNLL 2026 — accepted papers

CoNLL 2026 is the 2026 edition of the Conference on Computational Natural Language Learning (CoNLL), held in San Diego, California, USA, July 2026 (publisher: Association for Computational Linguistics). The ACL Anthology lists 47 papers of it; our library holds 20 with our summaries. Below: its awards, the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 San Diego, California, United States · 🗓 July 2026

Awards

As the ACL Anthology records them.

1. Presupposition and Reasoning in Conditionals: A Theory-Based Study of Humans and LLMs ↗Tara Azin, Yongan Yu, Raj Singh et al. · 🏆 Outstanding Paper
2. Readers make targeted regressions to plausible errors in reanalysis of “noisy-channel garden-path” sentences ↗Thomas Hikaru Clark, Roger P. Levy, Edward Gibson · 🏆 Outstanding Paper
3. When transformers learn “impossible” languages, what do they learn? ↗Ram Janarthan, Coleman Haley, Sharon Goldwater · 🏆 Best Paper

Most cited papers

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

1. Discovering Lexical Gaps Using Embeddings from Multilingual LLMs ↗Yoonwon Jung, Aaron S. Cohen, Ben Bergen1 citation
2. Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus ConstructionsWesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider et al.1 citation · our summary
3. Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual ReasoningMohit Vaishnav, Tanel Tammet1 citation · our summary
4. Syntactically-guided Information Maintenance in Sentence Comprehension ↗Shinnosuke Isono, Kohei Kajikawa1 citation

All accepted papers (47)

The most cited first; 20 with our summary link to their page here, the others to the original.

1. Discovering Lexical Gaps Using Embeddings from Multilingual LLMs ↗Yoonwon Jung, Aaron S. Cohen, Ben Bergen1 citation
2. Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus ConstructionsWesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider et al.1 citation · our summary
3. Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual ReasoningMohit Vaishnav, Tanel Tammet1 citation · our summary
4. Syntactically-guided Information Maintenance in Sentence Comprehension ↗Shinnosuke Isono, Kohei Kajikawa1 citation
5. A Dataset for Oral Reading in Young English ReadersMadison Rose, Michael Bennie, Valeria Pagliai et al.our summary
6. A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated CorporaPaul Van Eecke, Katrien Beulsour summary
7. A framework for analyzing concept representations in neural modelsBurin Naowarat, Hao Tang, Sharon Goldwaterour summary
8. Addressing the Ecological Fallacy in Larger LMs with Human ContextNikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah et al.our summary
9. An Information-Theoretic Study of RLHF-Induced Uniformity in Large Language Model Outputs ↗Nolan Chai, Tianqi Zhang, Alex Warstadt
10. Automated Refinement of Essay Scoring Rubrics for Language Models via Reflect-and-Revise ↗Keno Harada, Lui Yoshida, Takeshi Kojima et al.
11. Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language ModelsNura Aljaafari, Danilo Carvalho, Andre Freitasour summary
12. CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractionsFrancesca Padovani, Xiulin Yang, Bastian Bunzeck et al.our summary
13. Capturing Classic Authorial Style in Long-Form Story Generation with GRPO Fine-Tuning ↗Jinlong Liu, Mark G. Lee, Mohammed Bahja et al.
14. Child-directed speech facilitates production, not comprehension, in BabyLMsBastian Bunzeck, Sina Zarrießour summary
15. Cognitively Inspired Developmental Trajectories Improve Explore-Exploit Dynamics in Neural Agent Emergent Communication ↗Jan Dziewoński, Flor Miriam Plaza-del-Arco, Tessa Verhoef
16. Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networksClaire Hobbs, R. Thomas McCoyour summary
17. Could language models win the International Linguistics Olympiad? ↗Jamie Garnham, Ehsan Shareghi
18. Differences in Typological Alignment in Language Models' Treatment of Differential Argument Marking ↗Iskar Deng, Nathalia Xu, Shane Steinert-Threlkeld
19. Evaluating Humanlike Memory Effects in Transformers Using Item Recognition Tasks ↗Christian Clark, William Schuler
20. Event-Guided Slot Interaction for Multi-Domain Dialogue State TrackingYing Xia, Wei Liuour summary
21. Examining Large Language Models' form-meaning mappings of information structure constructions in Mandarin Chinese ↗Shihui Li, Xiaojuan Tan, Jelke Bloem
22. From Dependency to CCG to Incremental CCG: Approaches to Flexible Word Order in Turkish ↗Özge Bakay, Oğuz Kerem Yıldız, Rajesh Bhatt et al.
23. From Sparse to Sense-Grounded: Wikipedia Training for Ukrainian Visual-WSD ↗Yurii Laba, Rostyslav O. Hryniv
24. Harnessing Linguistic Dissimilarity for Language Generalization on Unseen Low-Resource Varieties ↗Jinju Kim, Haeji Jung, Youjeong Roh et al.
25. Information-Theoretic Storage Cost in Sentence Comprehension ↗Kohei Kajikawa, Shinnosuke Isono, Ethan Gotlieb Wilcox

See all 47 papers in CoNLL 2026 — accepted papers →

📄 Papers with our summary in our library (20)

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

1. Sense and Sensitivity: “Reasoning” Models are More Robust, but can Diverge from Human Consensus in a Legal Interpretation TaskConference on Computational Natural Language Learning (CoNLL)Dawson Petersen, Abhishek Purushothama, Nathan Schneider2026 · 1 citation
2. Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus ConstructionsConference on Computational Natural Language Learning (CoNLL)Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.2026 · 1 citation
3. Addressing the Ecological Fallacy in Larger LMs with Human ContextConference on Computational Natural Language Learning (CoNLL)Nikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, et al.2026 · 1 citation
4. Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual ReasoningConference on Computational Natural Language Learning (CoNLL)Mohit Vaishnav, Tanel Tammet2026 · 1 citation
5. What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap DependenciesConference on Computational Natural Language Learning (CoNLL)Zhenghao Zhou, William Dai, Maya Viswanathan, et al.2026 · 1 citation
6. Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language ModelsConference on Computational Natural Language Learning (CoNLL)Nura Aljaafari, Danilo Carvalho, Andre Freitas2026
7. Child-directed speech facilitates production, not comprehension, in BabyLMsConference on Computational Natural Language Learning (CoNLL)Bastian Bunzeck, Sina Zarrieß2026
8. A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated CorporaConference on Computational Natural Language Learning (CoNLL)Paul Van Eecke, Katrien Beuls2026
9. Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networksClaire Hobbs, R. Thomas McCoy2026
10. What Brain Data Adds to Language Model TrainingConference on Computational Natural Language Learning (CoNLL)Gabriele Merlin, Omer Moussa, Mariya Toneva2026
11. A framework for analyzing concept representations in neural modelsConference on Computational Natural Language Learning (CoNLL)Burin Naowarat, Hao Tang, Sharon Goldwater2026
12. Word predictability estimates from language models are not robust to tokenizer vocabularyConference on Computational Natural Language Learning (CoNLL)Kien Nguyen, Suhas Arehalli2026
13. A Dataset for Oral Reading in Young English ReadersConference on Computational Natural Language Learning (CoNLL)Madison Rose, Michael Bennie, Valeria Pagliai, et al.2026
14. Metric Grammars: A usage-based grammatical formalism that supports generation, parsing and morphological innovationConference on Computational Natural Language Learning (CoNLL)Whitney Tabor, Hyosun Lee2026
15. ThinkStruct: RST-Aware Attention for Logical Reasoning in Machine Reading ComprehensionConference on Computational Natural Language Learning (CoNLL)Nhi Thao Tran, Tien Le, Toan Pham, et al.2026
16. Logic-Level Evaluation of Logical Table-to-Text GenerationConference on Computational Natural Language Learning (CoNLL)Lena Trigg, Dean F. Hougen, Ahsan Bilal2026
17. CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractionsFrancesca Padovani, Xiulin Yang, Bastian Bunzeck, et al.2026
18. Similar Predictions, Different Processes: A Multi-Level Comparison of Human and Multimodal LLM Language PredictionConference on Computational Natural Language Learning (CoNLL)Shuqi Wang, Zhenguang Cai2026
19. Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM JudgesConference on Computational Natural Language Learning (CoNLL)Anuradha Welivita, Fawzia Zeitoun, Pearl Pu2026
20. Event-Guided Slot Interaction for Multi-Domain Dialogue State TrackingConference on Computational Natural Language Learning (CoNLL)Ying Xia, Wei Liu2026

🧭 Top topics

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

🧠Language models & pretraining (6)📏Evaluation & benchmarks (3)🧮Reasoning (3)🧒Psycholinguistics & language acquisition (3)📐Syntax & grammar formalisms (2)English (2)🌐Universal Dependencies (1)❓Question answering (1)😊Sentiment & emotion (1)✍️Text generation (1)🗨️Dialogue systems (1)🧩Morphology (1)⚖️Legal AI (1)🔬Interpretability (1)🖼️Vision & language (1)

📚 Fields

🎭Arts and Humanities (19)🖥️Computer Science (16)💭Psychology (7)🧠Neuroscience (4)🤝Social Sciences (1)

🧑‍🔬 Top authors

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

🏛️ Top institutions

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

🎓Georgetown UniversityWashington · United States3 works here🎓Bielefeld UniversityBielefeld · Germany2 works here🎓Tallinn University of TechnologyTallinn · Estonia1 work here🎓Shanghai UniversityShanghai · China1 work here🎓Vietnam National University Ho Chi Minh CityHo Chi Minh City · Vietnam1 work here🎓Vrije Universiteit BrusselBrussels · Belgium1 work here🎓Harvard UniversityCambridge · United States1 work here🎓University of ConnecticutStorrs · United States1 work here🎓University of GroningenGroningen · Netherlands1 work here🎓Chinese University of Hong KongHong Kong · China1 work here🎓Vanderbilt UniversityNashville · United States1 work here🎓Ho Chi Minh City University of ScienceHo Chi Minh City · Vietnam1 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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