---
title: "Who cites Christopher E. Potts — page 17 — 9,352 citing papers"
description: "9,352 papers of the Elamur Research library cite the works of Christopher E. Among them: TinyAttack: Exploring Stylistic Vulnerabilities in…"
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# Who cites Christopher E. Potts

11,943 citations of their works from 9,352 papers of our library (of the 149,439 whose bibliographies we read) · 1,871 with a page here, the most cited first · page 17 of 19 · 1601–1700 · [← Christopher E. Potts](https://md.research.elamur.ai/free/en/authors/christopher-e-potts/)

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1601. **[TinyAttack: Exploring Stylistic Vulnerabilities in Large Language Models](https://md.research.elamur.ai/free/en/papers/mamta-2026-tinyattack-exploring-stylistic-vulnerabilities-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mamta Mamta, Bogdan Grecu, Oana Cocarascu*2026 · 1 citation*
1602. **[Towards a Diagnostic and Predictive Evaluation Methodology for Sequence Labeling Tasks](https://md.research.elamur.ai/free/en/papers/mellado-2026-diagnostic-predictive-evaluation-methodology-sequence/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Elena Alvarez-Mellado, Julio Gonzalo*2026 · 1 citation*
1603. **[T²-RAGBench: Text-and-Table Benchmark for Evaluating Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/strich-2026-t-2-ragbench-text-table/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jan Strich, Enes Kutay Isgorur, Maximilian Trescher, et al.*2026 · 1 citation*
1604. **[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*
1605. **[What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-what-makes-llm-good-optimizer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinhao Zhang, Xi Chen, François Portet, et al.*2026 · 1 citation*
1606. **[Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics](https://md.research.elamur.ai/free/en/papers/xu-2026-why-steering-works-unified-view/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziwen Xu, Chenyan WU, Hengyu Sun, et al.*2026 · 1 citation*
1607. **[Yam at SemEval-2026 Task 4: Failure-Driven Prompt Evolution for Narrative Comparison](https://md.research.elamur.ai/free/en/papers/yam-2026-yam-semeval-2026-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yen Yee Yam, Hong Meng Yam*2026 · 1 citation*
1608. **[“So, How Much Do LLMs Hallucinate on Low-Resource Languages?” A Quantitative and Qualitative Analysis](https://md.research.elamur.ai/free/en/papers/trivedi-2026-so-how-much-do-llms/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Kushal Trivedi, Murtuza Shaikh, Sriyansh Sharma*2026 · 1 citation*
1609. **[AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models](https://md.research.elamur.ai/free/en/papers/althnian-2025-araeval-arabic-multi-task-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.*2025 · 1 citation*
1610. **[Benchmarking Query-Conditioned Natural Language Inference](https://md.research.elamur.ai/free/en/papers/canby-2025-benchmarking-query-conditioned-natural-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Marc E. Canby, Xinchi Chen, Xing Niu, et al.*2025 · 1 citation*
1611. **[Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/proebsting-2025-biases-large-language-model-elicited/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Grace Proebsting, Adam Poliak*2025 · 1 citation*
1612. **[Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve Tasks](https://md.research.elamur.ai/free/en/papers/madabushi-2025-construction-grammar-evidence-how-llms/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Harish Tayyar Madabushi, Claire Bonial*2025 · 1 citation*
1613. [**Dense Retrieval for Low Resource Languages — the Case of Amharic Language arXiv:2503.18570**Tilahun Yeshambel, Moncef Garouani, Serge Molina, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yeshambel-2025-dense-retrieval-low-resource-languages/)
1614. **[From Form to Function: A Constructional NLI Benchmark](https://md.research.elamur.ai/free/en/papers/bonial-2025-form-function-constructional-nli-benchmark/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Claire Bonial, Taylor Pellegrin, Melissa Torgbi, et al.*2025 · 1 citation*
1615. [**Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English arXiv:2503.12858**Duke Nguyen, Aditya Joshi, Flora Salim*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nguyen-2025-harnessing-test-time-adaptation-nlu/)
1616. [**Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering**Polina Tsvilodub, Robert D. Hawkins, Michael Franke*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tsvilodub-2025-integrating-neural-symbolic-components-model/)
1617. [**LCHAIM - Investigating Long Context Reasoning in Hebrew**Ehud Malul, Oriel Perets, Ziv Mor, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/malul-2025-lchaim-investigating-long-context-reasoning/)
1618. **[On Reference (In-)Determinacy in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/chen-2025-reference-determinacy-natural-language-inference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sihao Chen, Chaitanya Malaviya, Alex Fabrikant, et al.*2025 · 1 citation*
1619. **[Communicating with Speakers and Listeners of Different Pragmatic Levels](https://md.research.elamur.ai/free/en/papers/naszadi-2024-communicating-speakers-listeners-different-pragmatic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kata Naszadi, Frans A Oliehoek, Christof Monz*2024 · 1 citation*
1620. [**Fluid Dynamics-Inspired Emotional Analysis in Shakespearean Tragedies: A Novel Computational Linguistics Methodology Proceedings of the 2nd Workshop on Mathematical Natural Language Processing @ LREC-COLING 2024**Davide Picca*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/picca-2024-fluid-dynamics-inspired-emotional-analysis/)
1621. **[Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning](https://md.research.elamur.ai/free/en/papers/jacob-2024-regularized-conventions-equilibrium-computation-as/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Athul Jacob, Gabriele Farina, Jacob Andreas*2024 · 1 citation*
1622. **[Who Did You Blame When Your Project Failed? Designing a Corpus for Presupposition Generation in Cross-Examination Dialogues](https://md.research.elamur.ai/free/en/papers/francis-2024-who-did-you-blame-when/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Maria Francis, Julius Steuer, Dietrich Klakow, et al.*2024 · 1 citation*
1623. **[“It was just so hard”: ineffable \<em>just\</em> as a mixed expressive](https://md.research.elamur.ai/free/en/papers/manetta-2024-it-was-just-so-hard/) [Glossa a journal of general linguistics](https://md.research.elamur.ai/free/en/venues/glossa-a-journal-of-general-linguistics/)**Emily Walker Manetta, Ian Bhatia*2024 · 1 citation*
1624. [**Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling Perspective arXiv:2305.17760**Khanh Nguyen*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nguyen-2023-language-models-bounded-pragmatic-speakers/)
1625. [**Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning arXiv:2205.09172**Fei Fang, Kunal Sinha, Noah D. Goodman, et al.*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/fang-2022-color-overmodification-emerges-data-driven/)
1626. **[High aspect in the English \<em>be going to\</em> construction: Syntactic evidence](https://md.research.elamur.ai/free/en/papers/duncan-2022-high-aspect-english-em-be/) [Glossa a journal of general linguistics](https://md.research.elamur.ai/free/en/venues/glossa-a-journal-of-general-linguistics/)**Daniel Duncan*2022 · 1 citation*
1627. **[Love Me, Love Me Not: Human-Directed Sentiment Analysis in Arabic](https://md.research.elamur.ai/free/en/papers/israeli-2022-love-me-love-me-not/) [International Workshop on NLP Solutions for Under Resourced Languages co-located with ICNLSP - Short Papers](https://md.research.elamur.ai/free/en/venues/nsurl/)**Abraham Israeli, Aviv Naaman, Yotam Nahum, et al.*2022 · 1 citation*
1628. **[Exploiting Open IE for Deriving Multiple Premises Entailment Corpus](https://md.research.elamur.ai/free/en/papers/vita-2019-exploiting-open-ie-deriving-multiple/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Martin Víta, Jakub Klímek*2019 · 1 citation*
1629. [**The Pragmatics of Indirect Commands in Collaborative Discourse**Matthew Lamm, Mihail Eric*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/lamm-2017-pragmatics-indirect-commands-collaborative-discourse/)
1630. **[Modelling the Interpretation of Discourse Connectives by Bayesian Pragmatics](https://md.research.elamur.ai/free/en/papers/yung-2016-modelling-interpretation-discourse-connectives-bayesian/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Frances Yung, Kevin Duh, Taku Komura, et al.*2016 · 1 citation*
1631. **[Semi-Automatic Construction of a Textual Entailment Dataset: Selecting Candidates with Vector Space Models](https://md.research.elamur.ai/free/en/papers/fonseca-2015-semi-automatic-construction-textual-entailment/) [Brazilian Symposium in Information and Human Language Technology](https://md.research.elamur.ai/free/en/venues/stil/)**Erick R. Fonseca, Sandra Maria Aluísio*2015 · 1 citation*
1632. [**Scalar Implicatures: Pragmatic Inferences or Grammar?**Chungmin Lee*2008 · 1 citation*](https://md.research.elamur.ai/free/en/papers/lee-2008-scalar-implicatures-pragmatic-inferences-or/)
1633. **[100,000+ Movie Reviews from Kazakhstan: Russian, Kazakh, and Code-Switched Texts](https://md.research.elamur.ai/free/en/papers/yeshpanov-2026-100-000-movie-reviews-kazakhstan/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**Rustem Yeshpanov*2026*
1634. **[A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass Classification](https://md.research.elamur.ai/free/en/papers/meyoyan-2026-bertology-view-llm-orchestrations-token/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gonzalo Ariel Meyoyan, Luciano Del Corro*2026*
1635. **[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*
1636. **[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*
1637. **[A Novel Matching Paradigm: Unified Generative and Discriminative LLM with Prompt Compression for Relevance Learning](https://md.research.elamur.ai/free/en/papers/zhao-2026-novel-matching-paradigm-unified-generative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guoliang Zhao, Zixin Cui, Chao Ye, et al.*2026*
1638. **[A Subword Embedding Approach for Variation Detection in Luxembourgish User Comments](https://md.research.elamur.ai/free/en/papers/lutgen-2026-subword-embedding-approach-variation-detection/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Anne-Marie Lutgen, Alistair Plum, Christoph Purschke*2026*
1639. **[A Survey of Large Language Model-Based Search Agents](https://md.research.elamur.ai/free/en/papers/xi-2026-survey-large-language-model-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.*2026*
1640. **[A Survey of Large Models in Sports](https://md.research.elamur.ai/free/en/papers/xu-2026-survey-large-models-sports/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yichen Xu, Jianzhe Ma, Chuhan Wang, et al.*2026*
1641. **[A Unified View on Emotion Representation in Large Language Models](https://md.research.elamur.ai/free/en/papers/maheswaran-2026-unified-view-emotion-representation-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Aishwarya Maheswaran, Maunendra Sankar Desarkar*2026*
1642. **[AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage Margin](https://md.research.elamur.ai/free/en/papers/xiong-2026-aapo-enhancing-reasoning-capabilities-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jian Xiong, Jingbo Zhou, Jingyong Ye, et al.*2026*
1643. **[AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis](https://md.research.elamur.ai/free/en/papers/she-2026-aica-bench-holistically-examining-capabilities/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dong She, Xianrong Yao, Liqun Chen, et al.*2026*
1644. **[ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents](https://md.research.elamur.ai/free/en/papers/yang-2026-alden-reinforcement-learning-active-navigation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyu Yang, Terry Ruas, Yijun Tian, et al.*2026*
1645. **[AmazoniaNLP: A Survey of Extreme Low-Resource Languages in the Peruvian-Brazilian Amazon](https://md.research.elamur.ai/free/en/papers/zevallos-2026-amazonianlp-survey-extreme-low-resource/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Rodolfo Joel Zevallos, Fabrício Carraro, John E. Ortega*2026*
1646. **[Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning](https://md.research.elamur.ai/free/en/papers/steele-2026-annotation-entropy-predicts-per-example/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Brady Steele*2026*
1647. **[Applicability Condition Extraction for Therapeutic Drug-Disease Relations](https://md.research.elamur.ai/free/en/papers/luo-2026-applicability-condition-extraction-therapeutic-drug/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guanting Luo, Noriki Nishida, Yuji Matsumoto, et al.*2026*
1648. [**Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM Evaluation arXiv:2604.03395**Leen AlQadi, Ahmed Alzubaidi, Mohammed Alyafeai, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alqadi-2026-arabic-benchmarks-reliable-qimma-s/)
1649. **[Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers](https://md.research.elamur.ai/free/en/papers/zhao-2026-are-my-optimized-prompts-compromised/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.*2026*
1650. **[Attention Under Attack: Analog Noise Effects and Mechanistic Vulnerabilities in Transformer Models](https://md.research.elamur.ai/free/en/papers/rahman-2026-attention-under-attack-analog-noise/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mafizur Rahman, Lijun Qian*2026*
1651. **[Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2026-attn-gs-attention-guided-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shenglai Zeng, Tianqi Zheng, Chuan Tian, et al.*2026*
1652. **[Aurum at CRF Filling 2026: Modular DSPy Extractors with Qwen3-Max for Multilingual CRF Filling](https://md.research.elamur.ai/free/en/papers/ulli-2026-aurum-crf-filling-2026-modular/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Vinay Babu Ulli, Jyoti Kumari, Anindita Mondal*2026*
1653. **[Auto-Stega: An Agent-Driven System for Lifelong Strategy Evolution in LLM-Based Text Steganography](https://md.research.elamur.ai/free/en/papers/zhou-2026-auto-stega-agent-driven-system/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiuan Zhou, Yu Cheng, Yuan Xie, et al.*2026*
1654. **[BanglaSummEval: Reference-Free Factual Consistency Evaluation for Bangla Summarization](https://md.research.elamur.ai/free/en/papers/rafid-2026-banglasummeval-reference-free-factual-consistency/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Ahmed Rafid, Rumman Adib, Fariya Ahmed, et al.*2026*
1655. **[BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-batonvoice-operationalist-framework-enhancing-controllable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yue Wang, Ruotian Ma, Xingyu Chen, et al.*2026*
1656. **[BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation](https://md.research.elamur.ai/free/en/papers/yuan-2026-bayesflow-probability-inference-framework-meta/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bo Yuan, Yun Zhou, Zhichao Xu, et al.*2026*
1657. **[Bears, all bears, and some bears. Language Constraints on Language Models' Inductive Inferences](https://md.research.elamur.ai/free/en/papers/padmanabhan-2026-bears-all-bears-some-bears/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sriram Padmanabhan, Siyuan Song, Kanishka Misra*2026*
1658. **[BenchNavigator: A Discovery Interface for Comparing LLM Benchmarks](https://md.research.elamur.ai/free/en/papers/sokol-2026-benchnavigator-discovery-interface-comparing-llm/) [Workshop on Evaluating Evaluations (EvalEval)](https://md.research.elamur.ai/free/en/venues/evaleval/)**Anna Sokol, Inge Vejsbjerg, Elizabeth M. Daly, et al.*2026*
1659. **[Beyond Task-Level Context: Class-Conditional Context Vectors for Implicit In-Context Learning](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-task-level-context-class/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jianxin Zhang, Yilu Hu, Teng Liu, et al.*2026*
1660. **[Beyond the Singular: Revealing the Value of Multiple Generations in Benchmark Evaluation](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-singular-revealing-value-multiple/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenbo Zhang, Hengrui Cai, Wenyu Chen*2026*
1661. **[Beyond the Token: Correcting the Tokenization Bias in XAI via Morphologically-Aligned Projection](https://md.research.elamur.ai/free/en/papers/yagiz-2026-beyond-token-correcting-tokenization-bias/) [Workshop Natural Language Processing for Turkic Languages](https://md.research.elamur.ai/free/en/venues/sigturk/)**Muhammet Anil Yagiz, Fahrettin Horasan*2026*
1662. **[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*
1663. [**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/)
1664. **[Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation?](https://md.research.elamur.ai/free/en/papers/wi-2026-can-spectral-clipping-enable-better/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hyowon Wi, Noseong Park*2026*
1665. **[CaPEdit: Capability-Preserving Lifelong Knowledge Editing For Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-capedit-capability-preserving-lifelong-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Song-Li Wu, Zhaocheng Du, Xianquan Wang, et al.*2026*
1666. [**CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language Models arXiv:2603.09993**Jon Chun, Hannah Sussman, Adrian Mangine, et al.*2026*](https://md.research.elamur.ai/free/en/papers/chun-2026-cei-benchmark-evaluating-pragmatic-reasoning/)
1667. **[CENT: Context Engineering Framework for Normalization of Clinical Trial Procedures](https://md.research.elamur.ai/free/en/papers/taneja-2026-cent-context-engineering-framework-normalization/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Sanya Taneja, Ziqing Ji, Hans Verstraete, et al.*2026*
1668. **[Charting the European LLM Benchmarking Landscape: A New Taxonomy and Registry](https://md.research.elamur.ai/free/en/papers/vintar-2026-charting-european-llm-benchmarking-landscape/) [Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC](https://md.research.elamur.ai/free/en/venues/llms4ssh/)**Spela Vintar, Mojca Brglez, Taja Kuzman Pungeršek, et al.*2026*
1669. **[CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/wu-2026-cia-inferring-communication-topology-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongxuan Wu, Xixun Lin, He Zhang, et al.*2026*
1670. [**Classifying Interpretive Canons at the Sentence Level: A Benchmark from the German Federal Constitutional Court arXiv:2609.26945**Felix Ringe*2026*](https://md.research.elamur.ai/free/en/papers/ringe-2026-classifying-interpretive-canons-sentence-level/)
1671. **[CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG Hallucinations](https://md.research.elamur.ai/free/en/papers/shi-2026-coda-restoring-contextual-dominance-copy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**JinWei Shi, Qizhuo Xie, Qianzi Hou, et al.*2026*
1672. **[Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding](https://md.research.elamur.ai/free/en/papers/wang-2026-commonsense-knowledge-negation-resource-enhance/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zijie Wang, MohammadHossein Rezaei, Farzana Rashid, et al.*2026*
1673. **[Compositional Meaning Representations in LLMs: a Critical Review of Probing Studies](https://md.research.elamur.ai/free/en/papers/marro-2026-compositional-meaning-representations-llms-critical/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Rémy Marro*2026*
1674. **[Compositional Steering of Large Language Models with Steering Tokens](https://md.research.elamur.ai/free/en/papers/radevski-2026-compositional-steering-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gorjan Radevski, Kiril Gashteovski, Giwon Hong, et al.*2026*
1675. [**Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives arXiv:2607.18443**Polina Tsvilodub, Fausto Carcassi, Michael Franke*2026*](https://md.research.elamur.ai/free/en/papers/tsvilodub-2026-computational-models-pragmatic-reasoning-flexible/)
1676. **[Constructing a Japanese Verdict Prediction Dataset for Fact-Checking of LLM-Generated Texts](https://md.research.elamur.ai/free/en/papers/masano-2026-constructing-japanese-verdict-prediction-dataset/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Miwa Masano, Hirokazu Kiyomaru, Atsushi Keyaki, et al.*2026*
1677. **[Credal Concept Bottleneck Models for Epistemic–Aleatoric Uncertainty Decomposition](https://md.research.elamur.ai/free/en/papers/mukherjee-2026-credal-concept-bottleneck-models-epistemic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tanmoy Mukherjee, Thomas Bailleux, Pierre Marquis, et al.*2026*
1678. **[Cross-Modal Taxonomic Generalization in (Vision-) Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-cross-modal-taxonomic-generalization-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyang Xu, Marcelo Sandoval-Castañeda, Karen Livescu, et al.*2026*
1679. **[Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task Evaluation](https://md.research.elamur.ai/free/en/papers/wu-2026-curriculum-learning-based-hierarchical-scoring/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiong Wu, Tan Yue, Jianxin Liang, et al.*2026*
1680. **[CxMP: A Linguistic Minimal-Pair Benchmark for Evaluating Constructional Understanding in Language Models](https://md.research.elamur.ai/free/en/papers/oba-2026-cxmp-linguistic-minimal-pair-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Miyu Oba, Saku Sugawara*2026*
1681. **[C³D: Enhancing LLM Reasoning via Confidence-Guided Contrastive Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2026-c-3-d-enhancing-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yufeng Zhang, Xuepeng Wang, Lingxiang Wu, et al.*2026*
1682. [**Detecting Speculative Language in Biomedical Texts using Recurrent Neural Tensor Networks arXiv:2606.10471**Dhruv Dixit*2026*](https://md.research.elamur.ai/free/en/papers/dixit-2026-detecting-speculative-language-biomedical-texts/)
1683. **[DivMerge: A divergence-based model merging method for multi-tasking](https://md.research.elamur.ai/free/en/papers/touayouch-2026-divmerge-divergence-based-model-merging/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Brahim Touayouch, Loïc Fosse, Géraldine Damnati, et al.*2026*
1684. **[DKME: Rethinking Coupled Knowledge Memory for Lifelong Model Editing of Large Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-dkme-rethinking-coupled-knowledge-memory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guanyu Zheng, Wang Zhenyu, He Tingting, et al.*2026*
1685. **[Do Large Language Models Understand Double Mismatches? Evidence from Farsi](https://md.research.elamur.ai/free/en/papers/mohammadi-2026-do-large-language-models-understand/) [Proceedings of the Workshop on NLP and LLMs for the Iranian Language Family](https://md.research.elamur.ai/free/en/venues/silkroadnlp/)**Maryam Mohammadi*2026*
1686. **[Do Transformers Grok Succinct Algorithms? Mechanistic Evidence for Counting Circuits](https://md.research.elamur.ai/free/en/papers/zhao-2026-do-transformers-grok-succinct-algorithms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yizheng Zhao*2026*
1687. **[DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures](https://md.research.elamur.ai/free/en/papers/uthayasooriyar-2026-docpolarbert-pre-trained-model-document/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Benno Uthayasooriyar, Antoine Ly, Franck Vermet, et al.*2026*
1688. **[DocUA at CRF Filling 2026: LLM StructCore –- Schema-Guided Reasoning Condensation and Deterministic Compilation](https://md.research.elamur.ai/free/en/papers/zabolotnii-2026-docua-crf-filling-2026-llm/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Serhii Zabolotnii*2026*
1689. [**Don't ‘Well, Actually' Me Unless You Know What You're Talking About: Weak Presupposition Verification Degrades General QA Performance arXiv:2608.06539**Shenran Wang, Vered Shwartz, Hila Gonen*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-don-t-well-actually-me/)
1690. **[E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral-benchmarks/) [IEEE Access](https://md.research.elamur.ai/free/en/venues/ieee-access/)**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*
1691. [**E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding arXiv:2609.33530**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral/)
1692. **[EduBench: A Portuguese Benchmark for Open-Ended Discursive Question Answering](https://md.research.elamur.ai/free/en/papers/paiola-2026-edubench-portuguese-benchmark-open-ended/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Pedro Henrique Paiola, Luís Gabriel Damiati Mendes, Bruno de Oliveira Monchelato, et al.*2026*
1693. **[Efficient universal generation in a fragment of Optimality Theory](https://md.research.elamur.ai/free/en/papers/siewert-2026-efficient-universal-generation-fragment-optimality/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Paul Siewert*2026*
1694. **[EncouRAGe: Evaluating RAG Local, Reliable, and Efficient](https://md.research.elamur.ai/free/en/papers/strich-2026-encourage-evaluating-rag-local-reliable/) [Workshop on Multilingual Report Generation via Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/venues/rag4reports/)**Jan Strich, Martin Semmann, Chris Biemann*2026*
1695. **[Entity-Level Sentiment Analysis with Sentence Relevance Detection](https://md.research.elamur.ai/free/en/papers/ronningstad-2026-entity-level-sentiment-analysis-sentence/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Egil Rønningstad, Roman Klinger, Lilja Øvrelid, et al.*2026*
1696. **[Evaluating the Impact of Source Diversity for RAG in Historical Research](https://md.research.elamur.ai/free/en/papers/mahadeshwar-2026-evaluating-impact-source-diversity-rag/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ruhi Mahadeshwar, Andreas van Cranenburgh, Tommaso Caselli, et al.*2026*
1697. **[Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for Classification](https://md.research.elamur.ai/free/en/papers/merdjanovska-2026-evaluation-pitfalls-sparsity-limitations-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Elena Merdjanovska, Omar Zaidan, Andreas Rücklé*2026*
1698. **[FABLE: Fine-grained Fact Anchoring for Unstructured Model Editing](https://md.research.elamur.ai/free/en/papers/wang-2026-fable-fine-grained-fact-anchoring/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peng Wang, Biyu Zhou, Xuehai Tang, et al.*2026*
1699. **[FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation](https://md.research.elamur.ai/free/en/papers/siddika-2026-fedreft-federated-representation-fine-tuning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fatema Siddika, Md Anwar Hossen, Juan Pablo Munoz, et al.*2026*
1700. **[Feedback-Aware Prompt Optimization Framework for Generating Job Postings](https://md.research.elamur.ai/free/en/papers/maharjan-2026-feedback-aware-prompt-optimization-framework/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Suraj Maharjan, Ainur Yessenalina, Srinivasan H. Sengamedu*2026*

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