---
title: "CoNLL 2026 — accepted papers — Elamur Research"
description: "CoNLL 2026 — accepted papers: 20 papers in the Elamur Research library (San Diego, California, USA), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/conll/2026/"
---
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# 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](https://md.research.elamur.ai/free/en/countries/united-states/) · 🗓 July 2026

[**47** papers in the proceedings](#all) · [**20** works in our library](https://md.research.elamur.ai/free/en/venues/conll/2026/#works) · [**5** citations of these works](https://md.research.elamur.ai/free/en/venues/conll/2026/#works)

## Awards

As the ACL Anthology records them.

1. **[Presupposition and Reasoning in Conditionals: A Theory-Based Study of Humans and LLMs ↗](https://aclanthology.org/2026.conll-main.26/)**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 ↗](https://aclanthology.org/2026.conll-main.25/)**Thomas Hikaru Clark, Roger P. Levy, Edward Gibson · 🏆 Outstanding Paper
3. **[When transformers learn “impossible” languages, what do they learn? ↗](https://aclanthology.org/2026.conll-main.24/)**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 ↗](https://aclanthology.org/2026.conll-main.39/)**Yoonwon Jung, Aaron S. Cohen, Ben Bergen*1 citation*
2. **[Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions](https://md.research.elamur.ai/free/en/papers/scivetti-2026-language-models-learn-constructional-semantics/)**Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider et al.*1 citation · our summary*
3. **[Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual Reasoning](https://md.research.elamur.ai/free/en/papers/vaishnav-2026-symbolic-grounding-reveals-representational-bottlenecks/)**Mohit Vaishnav, Tanel Tammet*1 citation · our summary*
4. **[Syntactically-guided Information Maintenance in Sentence Comprehension ↗](https://aclanthology.org/2026.conll-main.5/)**Shinnosuke Isono, Kohei Kajikawa*1 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 ↗](https://aclanthology.org/2026.conll-main.39/)**Yoonwon Jung, Aaron S. Cohen, Ben Bergen*1 citation*
2. **[Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions](https://md.research.elamur.ai/free/en/papers/scivetti-2026-language-models-learn-constructional-semantics/)**Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider et al.*1 citation · our summary*
3. **[Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual Reasoning](https://md.research.elamur.ai/free/en/papers/vaishnav-2026-symbolic-grounding-reveals-representational-bottlenecks/)**Mohit Vaishnav, Tanel Tammet*1 citation · our summary*
4. **[Syntactically-guided Information Maintenance in Sentence Comprehension ↗](https://aclanthology.org/2026.conll-main.5/)**Shinnosuke Isono, Kohei Kajikawa*1 citation*
5. **[A Dataset for Oral Reading in Young English Readers](https://md.research.elamur.ai/free/en/papers/rose-2026-dataset-oral-reading-young-english/)**Madison Rose, Michael Bennie, Valeria Pagliai et al.*our summary*
6. **[A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora](https://md.research.elamur.ai/free/en/papers/eecke-2026-method-learning-large-scale-computational/)**Paul Van Eecke, Katrien Beuls*our summary*
7. **[A framework for analyzing concept representations in neural models](https://md.research.elamur.ai/free/en/papers/naowarat-2026-framework-analyzing-concept-representations-neural/)**Burin Naowarat, Hao Tang, Sharon Goldwater*our summary*
8. **[Addressing the Ecological Fallacy in Larger LMs with Human Context](https://md.research.elamur.ai/free/en/papers/soni-2026-addressing-ecological-fallacy-larger-lms/)**Nikita 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 ↗](https://aclanthology.org/2026.conll-main.43/)**Nolan Chai, Tianqi Zhang, Alex Warstadt
10. **[Automated Refinement of Essay Scoring Rubrics for Language Models via Reflect-and-Revise ↗](https://aclanthology.org/2026.conll-main.47/)**Keno Harada, Lui Yoshida, Takeshi Kojima et al.
11. **[Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language Models](https://md.research.elamur.ai/free/en/papers/aljaafari-2026-bridging-linguistic-structure-mechanistic-interpretability/)**Nura Aljaafari, Danilo Carvalho, Andre Freitas*our summary*
12. **[CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractions](https://md.research.elamur.ai/free/en/papers/padovani-2026-cait-syntactic-parsing-toolkit-child/)**Francesca Padovani, Xiulin Yang, Bastian Bunzeck et al.*our summary*
13. **[Capturing Classic Authorial Style in Long-Form Story Generation with GRPO Fine-Tuning ↗](https://aclanthology.org/2026.conll-main.31/)**Jinlong Liu, Mark G. Lee, Mohammed Bahja et al.
14. **[Child-directed speech facilitates production, not comprehension, in BabyLMs](https://md.research.elamur.ai/free/en/papers/bunzeck-2026-child-directed-speech-facilitates-production/)**Bastian Bunzeck, Sina Zarrieß*our summary*
15. **[Cognitively Inspired Developmental Trajectories Improve Explore-Exploit Dynamics in Neural Agent Emergent Communication ↗](https://aclanthology.org/2026.conll-main.8/)**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 networks](https://md.research.elamur.ai/free/en/papers/hobbs-2026-collocational-bootstrapping-hypothesis-about-learning/)**Claire Hobbs, R. Thomas McCoy*our summary*
17. **[Could language models win the International Linguistics Olympiad? ↗](https://aclanthology.org/2026.conll-main.28/)**Jamie Garnham, Ehsan Shareghi
18. **[Differences in Typological Alignment in Language Models' Treatment of Differential Argument Marking ↗](https://aclanthology.org/2026.conll-main.16/)**Iskar Deng, Nathalia Xu, Shane Steinert-Threlkeld
19. **[Evaluating Humanlike Memory Effects in Transformers Using Item Recognition Tasks ↗](https://aclanthology.org/2026.conll-main.1/)**Christian Clark, William Schuler
20. **[Event-Guided Slot Interaction for Multi-Domain Dialogue State Tracking](https://md.research.elamur.ai/free/en/papers/xia-2026-event-guided-slot-interaction-multi/)**Ying Xia, Wei Liu*our summary*
21. **[Examining Large Language Models' form-meaning mappings of information structure constructions in Mandarin Chinese ↗](https://aclanthology.org/2026.conll-main.37/)**Shihui Li, Xiaojuan Tan, Jelke Bloem
22. **[From Dependency to CCG to Incremental CCG: Approaches to Flexible Word Order in Turkish ↗](https://aclanthology.org/2026.conll-main.36/)**Özge Bakay, Oğuz Kerem Yıldız, Rajesh Bhatt et al.
23. **[From Sparse to Sense-Grounded: Wikipedia Training for Ukrainian Visual-WSD ↗](https://aclanthology.org/2026.conll-main.29/)**Yurii Laba, Rostyslav O. Hryniv
24. **[Harnessing Linguistic Dissimilarity for Language Generalization on Unseen Low-Resource Varieties ↗](https://aclanthology.org/2026.conll-main.17/)**Jinju Kim, Haeji Jung, Youjeong Roh et al.
25. **[Information-Theoretic Storage Cost in Sentence Comprehension ↗](https://aclanthology.org/2026.conll-main.2/)**Kohei Kajikawa, Shinnosuke Isono, Ethan Gotlieb Wilcox

[See all 47 papers in CoNLL 2026 — accepted papers →](https://md.research.elamur.ai/free/en/venues/conll/2026/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 Task](https://md.research.elamur.ai/free/en/papers/petersen-2026-sense-sensitivity-reasoning-models-are/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Dawson Petersen, Abhishek Purushothama, Nathan Schneider*2026 · 1 citation*
2. **[Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions](https://md.research.elamur.ai/free/en/papers/scivetti-2026-language-models-learn-constructional-semantics/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.*2026 · 1 citation*
3. **[Addressing the Ecological Fallacy in Larger LMs with Human Context](https://md.research.elamur.ai/free/en/papers/soni-2026-addressing-ecological-fallacy-larger-lms/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Nikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, et al.*2026 · 1 citation*
4. **[Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual Reasoning](https://md.research.elamur.ai/free/en/papers/vaishnav-2026-symbolic-grounding-reveals-representational-bottlenecks/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Mohit Vaishnav, Tanel Tammet*2026 · 1 citation*
5. **[What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap Dependencies](https://md.research.elamur.ai/free/en/papers/zhou-2026-what-exactly-do-children-receive/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Zhenghao Zhou, William Dai, Maya Viswanathan, et al.*2026 · 1 citation*
6. **[Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language Models](https://md.research.elamur.ai/free/en/papers/aljaafari-2026-bridging-linguistic-structure-mechanistic-interpretability/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Nura Aljaafari, Danilo Carvalho, Andre Freitas*2026*
7. **[Child-directed speech facilitates production, not comprehension, in BabyLMs](https://md.research.elamur.ai/free/en/papers/bunzeck-2026-child-directed-speech-facilitates-production/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Bastian Bunzeck, Sina Zarrieß*2026*
8. **[A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora](https://md.research.elamur.ai/free/en/papers/eecke-2026-method-learning-large-scale-computational/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Paul Van Eecke, Katrien Beuls*2026*
9. [**Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks**Claire Hobbs, R. Thomas McCoy*2026*](https://md.research.elamur.ai/free/en/papers/hobbs-2026-collocational-bootstrapping-hypothesis-about-learning/)
10. **[What Brain Data Adds to Language Model Training](https://md.research.elamur.ai/free/en/papers/merlin-2026-what-brain-data-adds-language/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Gabriele Merlin, Omer Moussa, Mariya Toneva*2026*
11. **[A framework for analyzing concept representations in neural models](https://md.research.elamur.ai/free/en/papers/naowarat-2026-framework-analyzing-concept-representations-neural/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Burin Naowarat, Hao Tang, Sharon Goldwater*2026*
12. **[Word predictability estimates from language models are not robust to tokenizer vocabulary](https://md.research.elamur.ai/free/en/papers/nguyen-2026-word-predictability-estimates-language-models/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Kien Nguyen, Suhas Arehalli*2026*
13. **[A Dataset for Oral Reading in Young English Readers](https://md.research.elamur.ai/free/en/papers/rose-2026-dataset-oral-reading-young-english/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Madison Rose, Michael Bennie, Valeria Pagliai, et al.*2026*
14. **[Metric Grammars: A usage-based grammatical formalism that supports generation, parsing and morphological innovation](https://md.research.elamur.ai/free/en/papers/tabor-2026-metric-grammars-usage-based-grammatical/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Whitney Tabor, Hyosun Lee*2026*
15. **[ThinkStruct: RST-Aware Attention for Logical Reasoning in Machine Reading Comprehension](https://md.research.elamur.ai/free/en/papers/tran-2026-thinkstruct-rst-aware-attention-logical/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Nhi Thao Tran, Tien Le, Toan Pham, et al.*2026*
16. **[Logic-Level Evaluation of Logical Table-to-Text Generation](https://md.research.elamur.ai/free/en/papers/trigg-2026-logic-level-evaluation-logical-table/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Lena Trigg, Dean F. Hougen, Ahsan Bilal*2026*
17. [**CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractions**Francesca Padovani, Xiulin Yang, Bastian Bunzeck, et al.*2026*](https://md.research.elamur.ai/free/en/papers/padovani-2026-cait-syntactic-parsing-toolkit-child/)
18. **[Similar Predictions, Different Processes: A Multi-Level Comparison of Human and Multimodal LLM Language Prediction](https://md.research.elamur.ai/free/en/papers/wang-2026-similar-predictions-different-processes-multi/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Shuqi Wang, Zhenguang Cai*2026*
19. **[Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM Judges](https://md.research.elamur.ai/free/en/papers/welivita-2026-who-generates-more-empathetic-responses/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Anuradha Welivita, Fawzia Zeitoun, Pearl Pu*2026*
20. **[Event-Guided Slot Interaction for Multi-Domain Dialogue State Tracking](https://md.research.elamur.ai/free/en/papers/xia-2026-event-guided-slot-interaction-multi/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Ying Xia, Wei Liu*2026*

## Top topics

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

[Language models & pretraining (6)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks (3)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning (3)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Psycholinguistics & language acquisition (3)](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Syntax & grammar formalisms (2)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [English (2)](https://md.research.elamur.ai/free/en/topics/english/) · [Universal Dependencies (1)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Sentiment & emotion (1)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Dialogue systems (1)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Morphology (1)](https://md.research.elamur.ai/free/en/topics/morphology/) · [Legal AI (1)](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Interpretability (1)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/)

**1 more topics**

[Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/)

## Fields

[Arts and Humanities (19)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (16)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Psychology (7)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Neuroscience (4)](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

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

[🧑‍🔬**Nathan Schneider**3 works here · 2 citations](https://md.research.elamur.ai/free/en/authors/nathan-schneider/) · [🧑‍🔬**R. Thomas McCoy**2 works here · 1 citation](https://md.research.elamur.ai/free/en/authors/r-thomas-mccoy/) · [🧑‍🔬**Bastian Bunzeck**2 works here](https://md.research.elamur.ai/free/en/authors/bastian-bunzeck/) · [🧑‍🔬**Dikshya Mohanty**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/dikshya-mohanty/) · [🧑‍🔬**Ethan Gotlieb Wilcox**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/ethan-gotlieb-wilcox/) · [🧑‍🔬**Hansen Andrew Schwartz**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/hansen-andrew-schwartz/) · [🧑‍🔬**Kanishka Misra**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/kanishka-misra/) · [🧑‍🔬**Leonie Weissweiler**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/leonie-weissweiler/) · [🧑‍🔬**Niranjan Balasubramanian**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/niranjan-balasubramanian/) · [🧑‍🔬**Robert Frank**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/robert-frank/) · [🧑‍🔬**Wesley Scivetti**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/wesley-scivetti/) · [🧑‍🔬**Zhenghao Zhou**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/zhenghao-zhou/)

## Top institutions

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

[🎓**Georgetown University** Washington · United States 3 works here](https://md.research.elamur.ai/free/en/universities/georgetown-university/) · [🎓**Bielefeld University** Bielefeld · Germany 2 works here](https://md.research.elamur.ai/free/en/universities/bielefeld-university/) · [🎓**Tallinn University of Technology** Tallinn · Estonia 1 work here](https://md.research.elamur.ai/free/en/universities/tallinn-university-of-technology/) · [🎓**Shanghai University** Shanghai · China 1 work here](https://md.research.elamur.ai/free/en/universities/shanghai-university/) · [🎓**Vietnam National University Ho Chi Minh City** Ho Chi Minh City · Vietnam 1 work here](https://md.research.elamur.ai/free/en/universities/vietnam-national-university-ho-chi-minh-city/) · [🎓**Vrije Universiteit Brussel** Brussels · Belgium 1 work here](https://md.research.elamur.ai/free/en/universities/vrije-universiteit-brussel/) · [🎓**Harvard University** Cambridge · United States 1 work here](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**University of Connecticut** Storrs · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-connecticut/) · [🎓**University of Groningen** Groningen · Netherlands 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-groningen/) · [🎓**Chinese University of Hong Kong** Hong Kong · China 1 work here](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Vanderbilt University** Nashville · United States 1 work here](https://md.research.elamur.ai/free/en/universities/vanderbilt-university/) · [🎓**Ho Chi Minh City University of Science** Ho Chi Minh City · Vietnam 1 work here](https://md.research.elamur.ai/free/en/universities/ho-chi-minh-city-university-of-science/)

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

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