---
title: "*SEM 2026 — all accepted papers with summaries and citations"
description: "All 36 papers of *SEM 2026, the most cited first; those with our summary link to it. Among them: Interactive Agents: Simulating…"
canonical: "https://research.elamur.ai/free/en/venues/starsem/2026/papers/"
---
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# *SEM 2026: all accepted papers

36 papers · the most cited first · [← *SEM 2026](https://md.research.elamur.ai/free/en/venues/starsem/2026/)

1. **[Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions](https://md.research.elamur.ai/free/en/papers/qiu-2026-interactive-agents-simulating-counselor-client/)**Huachuan Qiu, Zhenzhong Lan*6 citations · our summary*
2. **[Frame In, Frame Out: Measuring Framing Bias in LLM-Generated News Summaries](https://md.research.elamur.ai/free/en/papers/pastorino-2026-frame-frame-out-measuring-framing/)**Valeria Pastorino, Nafise Sadat Moosavi*3 citations · our summary*
3. **[A framework for annotating and modelling intentions behind metaphor use](https://md.research.elamur.ai/free/en/papers/michelli-2026-framework-annotating-modelling-intentions-behind/)**Gianluca Michelli, Xiaoyu Tong, Ekaterina Shutova*1 citation · our summary*
4. **[Can LLMs Solve My Grandma's Riddle? Evaluating Multilingual Large Language Models on Reasoning Traditional Bangla Tricky Riddles ↗](https://aclanthology.org/2026.starsem-conference.22/)**Nurul Labib Sayeedi, Md. Faiyaz Abdullah Sayeedi, Khushnur Binte Jahangir et al.*1 citation*
5. **[The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks](https://md.research.elamur.ai/free/en/papers/schlechtweg-2026-lscd-benchmark-testbed-diachronic-word/)**Dominik Schlechtweg, Sachin Yadav, Jonas Kuhn et al.*1 citation · our summary*
6. **[*-PLUIE: Personalisable metric with Llm Used for Improved Evaluation ↗](https://aclanthology.org/2026.starsem-conference.14/)**Quentin Lemesle, Leane Jourdan, Daisy Munson et al.
7. **[A Logic-Based Approach to Hallucinations in Data-to-Text NLG: Experiments with Human and LLM Annotators ↗](https://aclanthology.org/2026.starsem-conference.3/)**Eduardo Calò, Saad Mahamood, Albert Gatt et al.
8. **[Annotating Indian Regional Biases using Large Language Models: Evaluation and Analysis](https://md.research.elamur.ai/free/en/papers/panda-2026-annotating-indian-regional-biases-large/)**Debasmita Panda, Akash Anil, Neelesh Kumar Shukla*our summary*
9. **[Beyond Accuracy: Interpreting Topic Representation in Suicide Ideation Detection Models ↗](https://aclanthology.org/2026.starsem-conference.19/)**Hamideh Ghanadian, Isar Nejadgholi, Hussein Al Osman
10. **[Can You Be More Explicit? A Task and Dataset on Explicitations of Implicit Meaning](https://md.research.elamur.ai/free/en/papers/zeidler-2026-can-you-be-more-explicit/)**Laura Zeidler, Michael Roth*our summary*
11. **[Can a Remedy Find a Researcher? Exploring the Development of Semantic Knowledge in Italian BabyLMs](https://md.research.elamur.ai/free/en/papers/suozzi-2026-can-remedy-find-researcher-exploring/)**Alice Suozzi, Luca Capone, Gianluca Lebani et al. · 🏆 Best Paper*our summary*
12. **[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/)**Rémy Marro*our summary*
13. **[Diagnosing Generalization in Open-Source LLMs for Stance Detection ↗](https://aclanthology.org/2026.starsem-conference.21/)**Parush Gera, Tempestt Neal
14. **[Dictionary Insertion Prompting for Multilingual Reasoning on Multilingual Large Language Models ↗](https://aclanthology.org/2026.starsem-conference.36/)**Hongyuan Lu, Z.L. L, Wai Lam
15. **[Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?](https://md.research.elamur.ai/free/en/papers/modica-2026-do-factual-recall-mechanisms-carry/)**Luca Modica, Filip Landin, Mehrdad Farahani et al.*our summary*
16. **[Entropy-aware Masking for Masked Language Modeling](https://md.research.elamur.ai/free/en/papers/srinivasagan-2026-entropy-aware-masking-masked-language/)**Gokul Srinivasagan, Kai Hartung, Munir Georges*our summary*
17. **[EvalMORAAL: Interpretable Chain-of-Thought and LLM-as-Judge Evaluation for Moral Alignment in Large Language Models ↗](https://aclanthology.org/2026.starsem-conference.34/)**Hadi Mohammadi, Anastasia Giachanou, Robert A. Bagheri
18. **[Evaluating Adjective-Noun Compositionality in LLMs: Functional vs Representational Perspectives ↗](https://aclanthology.org/2026.starsem-conference.8/)**Ruchira Dhar, Qiwei Peng, Anders Søgaard
19. **[Finding Sense in Nonsense with Generated Contexts: Perspectives from Humans and Language Models](https://md.research.elamur.ai/free/en/papers/olsen-2026-finding-sense-nonsense-generated-contexts/)**Katrina Olsen, Sebastian Padó · 🏆 Best Paper Honorable Mention*our summary*
20. **[From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder Features](https://md.research.elamur.ai/free/en/papers/vuth-2026-latents-labels-zero-shot-named/)**Nakanyseth Vuth, Gilles Sérasset, Didier Schwab*our summary*
21. **[HistoryBankQA: Multilingual Temporal Question Answering on Historical Events](https://md.research.elamur.ai/free/en/papers/mandal-2026-historybankqa-multilingual-temporal-question-answering/)**Biswadip Mandal, Anant Khandelwal, Manish Gupta*our summary*
22. **[Lexical Availability and Human Distributional Agreement in GPT-4o's Color Naming ↗](https://aclanthology.org/2026.starsem-conference.9/)**Anna Feldman, Jing Peng
23. **[Mitigating Language Bias in Multilingual Sentence Embeddings for Cross-Lingual Similarity Estimation](https://md.research.elamur.ai/free/en/papers/nonomura-2026-mitigating-language-bias-multilingual-sentence/)**Kanade Nonomura, Keita Fukushima, Risa Kondo et al.*our summary*
24. **[One Word Is Not Enough: Simple Prompts Improve Word Embeddings](https://md.research.elamur.ai/free/en/papers/ranjan-2026-one-word-is-not-enough/)**Rajeev Ranjan*our summary*
25. **[ReFRAME or Remain: Unsupervised Lexical Semantic Change Detection with Frame Semantics ↗](https://aclanthology.org/2026.starsem-conference.5/)**Bach Phan Tat, Kris Heylen, Stefano De Pascale et al.
26. **[SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-semtoken-semantic-aware-tokenization-efficient/)**Dong Liu, Yanxuan Yu*our summary*
27. **[Syntactic Priming in Few-Shot Learning: How Demonstration Structure Shapes LLM Performance](https://md.research.elamur.ai/free/en/papers/yadla-2026-syntactic-priming-few-shot-learning/)**Prasanth Yadla*our summary*
28. **[The Frequency Confound in Language-Model Surprisal and Metaphor Novelty](https://md.research.elamur.ai/free/en/papers/momen-2026-frequency-confound-language-model-surprisal/)**Omar Momen, Sina Zarrieß*our summary*
29. **[The Tatoxa System for Text Detoxification in Low-Resource Languages: The Case of Tatar ↗](https://aclanthology.org/2026.starsem-conference.17/)**Ilseyar Alimova, Bogdan Monogov, Artyom Mazur et al.
30. **[Towards Sense-level Bilingual Dictionary Induction ↗](https://aclanthology.org/2026.starsem-conference.18/)**Lydia Körber, Katja Markert, Wei Zhao
31. **[Toxic Subword Pruning for Dialogue Response Generation on Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2026-toxic-subword-pruning-dialogue-response/)**Hongyuan Adam Lu, Wai Lam*our summary*
32. **[Uncovering Ideological Bias in RAG with Lexical Multidimensional Analysis: A Case Study on COVID-19](https://md.research.elamur.ai/free/en/papers/salari-2026-uncovering-ideological-bias-rag-lexical/)**Elmira Salari, Maria Claudia Nunes Delfino, Hazem Amamou et al.*our summary*
33. **[Under the Surface: Probing Tamil Paraphrase Intelligence](https://md.research.elamur.ai/free/en/papers/r-2026-under-surface-probing-tamil-paraphrase/)**Viswadarshan R R, Dr. J. Felicia Lilian, Mahalakshmi S*our summary*
34. **[Understanding the Linguistic Cues Behind Stance Detection ↗](https://aclanthology.org/2026.starsem-conference.20/)**Parush Gera, Tempestt Neal
35. **[ZIP: Quantifying Which Words Matter in Zero-Shot Instructional Prompts](https://md.research.elamur.ai/free/en/papers/sadr-2026-zip-quantifying-which-words-matter/)**Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari et al.*our summary*
36. **[“Undocumented Immigrants” != “Illegal Aliens”: Decomposing the Conceptual and Narrative Landscapes of Partisan Immigration Terms ↗](https://aclanthology.org/2026.starsem-conference.23/)**Yejin Cho, Gabriella Chronis, Nitin Sudarsanam et al.
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