---
title: "Research Triangle — works of 2026 — 32 papers in our library"
description: "32 works of Research Triangle from 2026 in our library, the most cited first. Among them: Localizing Factual Inconsistencies in Attributable…"
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# Works of Research Triangle from 2026

32 works · the most cited first · [← Research Triangle](https://md.research.elamur.ai/free/en/agglomerations/research-triangle/)

1. **[Localizing Factual Inconsistencies in Attributable Text Generation](https://md.research.elamur.ai/free/en/papers/cattan-2026-localizing-factual-inconsistencies-attributable-text/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Arie Cattan, Paul Roit, Shiyue Zhang, et al.*2026 · 7 citations*
2. **[Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint Verbalization](https://md.research.elamur.ai/free/en/papers/zaman-2026-is-chain-thought-really-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kerem Zaman, Shashank Srivastava*2026 · 5 citations*
3. **[CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data](https://md.research.elamur.ai/free/en/papers/suarez-2026-commonlid-re-evaluating-state-art/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett, et al.*2026 · 3 citations*
4. **[Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction](https://md.research.elamur.ai/free/en/papers/shen-2026-metacognitive-self-correction-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xu Shen, Qi Zhang, Song Wang, et al.*2026 · 3 citations*
5. **[Anchor: Branch-Point Data Generation for GUI Agents](https://md.research.elamur.ai/free/en/papers/wei-2026-anchor-branch-point-data-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinbiao Wei, Yilun Zhao, Kangqi Ni, et al.*2026 · 1 citation*
6. **[DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/sivakumaran-2026-dart-leveraging-multi-agent-disagreement/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Nithin Sivakumaran, Justin Chen, David Wan, et al.*2026 · 1 citation*
7. **[Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?](https://md.research.elamur.ai/free/en/papers/vijjini-2026-do-llm-agents-mirror-socio/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Anvesh Rao Vijjini, Sagar B. Manjunath, Snigdha Chaturvedi*2026 · 1 citation*
8. **[RotBench: Evaluating Multi-modal Large Language Models on Identifying Image Rotation](https://md.research.elamur.ai/free/en/papers/niu-2026-rotbench-evaluating-multi-modal-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin, et al.*2026 · 1 citation*
9. **[STAMP: Selective Task-Aware Mechanism for Text Privacy](https://md.research.elamur.ai/free/en/papers/tian-2026-stamp-selective-task-aware-mechanism/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Fengwei Tian, Payel Bhattacharjee, Heidi Hanson, et al.*2026 · 1 citation*
10. **[SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator](https://md.research.elamur.ai/free/en/papers/zhou-2026-safeagent-safeguarding-llm-agents-automated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xueyang Zhou, Weidong Wang, Lin Lu, et al.*2026 · 1 citation*
11. **[Automatic and Reliable Evaluation for Academic Caption-to-Figure Generation with LMMs](https://md.research.elamur.ai/free/en/papers/ye-2026-automatic-reliable-evaluation-academic-caption/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanghui Ye, Huan Zhao, Qin Zhu, et al.*2026*
12. **[CLARO: Controlled Attribute-Driven Reasoning Optimization for Efficient Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/schlesinger-2026-claro-controlled-attribute-driven-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Oded Schlesinger, Young Kyung Kim, J. Matias Di Martino, et al.*2026*
13. **[Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most](https://md.research.elamur.ai/free/en/papers/yasir-2026-confirming-correct-missing-rest-llm/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Tahreem Yasir, Wenbo Li, Sam Gilson, et al.*2026*
14. **[Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks](https://md.research.elamur.ai/free/en/papers/zhang-2026-copyright-detective-forensic-system-evidence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangwei Zhang, Jianing Zhu, Cheng Qian, et al.*2026*
15. **[Demystify the Role of Memory in Machine Learning Engineering Agents](https://md.research.elamur.ai/free/en/papers/zhao-2026-demystify-role-memory-machine-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyu Zhao, Junpeng Wang, Yuzhong Chen, et al.*2026*
16. **[KGRxn-LLM: Knowledge Graph Enhanced Large Language Models for Molecular Reaction Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2026-kgrxn-llm-knowledge-graph-enhanced/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Weichen Liu, Qiyao Xue, Yuyang Wu, et al.*2026*
17. **[Learning Flexible Large Multimodal Models with Arbitrary Modality Combinations](https://md.research.elamur.ai/free/en/papers/zhao-2026-learning-flexible-large-multimodal-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyu Zhao, Kangqi Ni, Jie Peng, et al.*2026*
18. **[Learning to Control Summaries with Score Ranking](https://md.research.elamur.ai/free/en/papers/liu-2026-learning-control-summaries-score-ranking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongye Liu, Liang Ding, Ricardo Henao*2026*
19. **[Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection](https://md.research.elamur.ai/free/en/papers/shao-2026-leave-my-images-alone-preventing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zedian Shao, Hongbin Liu, Yuepeng Hu, et al.*2026*
20. **[Lost in Expression: Diagnosing Systemic Challenges with Non-Manual Generalization in Sign Language Understanding Tasks](https://md.research.elamur.ai/free/en/papers/sazonov-2026-lost-expression-diagnosing-systemic-challenges/) [LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion](https://md.research.elamur.ai/free/en/venues/signlang/)**Dmitriy Sazonov, Sevgi Z. Gurbuz, Evie A. Malaia*2026*
21. **[MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication](https://md.research.elamur.ai/free/en/papers/sambara-2026-medredflag-investigating-how-llms-redirect/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sraavya Sambara, Yuan Pu, Ayman Ali, et al.*2026*
22. **[Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks](https://md.research.elamur.ai/free/en/papers/sarwar-2026-multimodal-unlearning-across-vision-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, et al.*2026*
23. **[On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied Planning](https://md.research.elamur.ai/free/en/papers/wu-2026-policy-reinforcement-fine-tuning-offline/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Di Wu, Jiaxin Fan, Chloe Gu, et al.*2026*
24. **[ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation](https://md.research.elamur.ai/free/en/papers/zhang-2026-reasonrec-reasoning-augmented-multimodal-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yihua Zhang, Mingfu Liang, Jiyan Yang, et al.*2026*
25. **[Reasoning-Aware AIGC Detection via Alignment and Reinforcement](https://md.research.elamur.ai/free/en/papers/wang-2026-reasoning-aware-aigc-detection-alignment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhao Wang, Max Xiong, Jianxun Lian, et al.*2026*
26. **[Risk-Controlled Event-Driven Cascading Updates for Knowledge Graph Consistency Restoration](https://md.research.elamur.ai/free/en/papers/ni-2026-risk-controlled-event-driven-cascading/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bo Ni, Qinwen Ge, Haowei Fu, et al.*2026*
27. **[Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection](https://md.research.elamur.ai/free/en/papers/niu-2026-routing-generated-data-annotation-free/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyi Niu, Justin Chen, Genta Indra Winata, et al.*2026*
28. **[SimpleOCR: Rendering Visual Questions to Teach MLLMs to Read](https://md.research.elamur.ai/free/en/papers/peng-2026-simpleocr-rendering-visual-questions-teach/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Peng, Peng Xia, Ding Zhong, et al.*2026*
29. **[Stabilizing Efficient Reasoning with Step-Level Advantage Selection](https://md.research.elamur.ai/free/en/papers/wang-2026-stabilizing-efficient-reasoning-step-level/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Han Wang, Xiaodong Yu, Jialian Wu, et al.*2026*
30. **[SynthAgent: Adapting Web Agents with Synthetic Supervision](https://md.research.elamur.ai/free/en/papers/wang-2026-synthagent-adapting-web-agents-synthetic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaoyang Wang, Yiming Liang, Xuchao Zhang, et al.*2026*
31. **[The Effects of Structured LLM-Generated Feedback on Programming Assignment Performance](https://md.research.elamur.ai/free/en/papers/mihaylova-2026-effects-structured-llm-generated-feedback/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Tsvetomila Mihaylova, Evanfiya Logacheva, Arto Hellas, et al.*2026*
32. **[Why is “Chicago” Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues](https://md.research.elamur.ai/free/en/papers/qu-2026-why-is-chicago-predictive-deceptive/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Jiaming Qu, Mengtian Guo, Yue Wang*2026*
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