--- title: "Papers of 2026 — page 54 — 5,636 papers, the most cited first" description: "Papers of 2026: 5,636 papers of the Elamur Research library — what each work is about in our own words, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/papers/2026/page/54/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2026/page/54/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2026 # Papers of 2026 — page 54 5,636 papers · [papers of all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2026/page/53/) [1](https://md.research.elamur.ai/free/en/papers/2026/) … [50](https://md.research.elamur.ai/free/en/papers/2026/page/50/) … [53](https://md.research.elamur.ai/free/en/papers/2026/page/53/) **54** [55](https://md.research.elamur.ai/free/en/papers/2026/page/55/) [56](https://md.research.elamur.ai/free/en/papers/2026/page/56/) [57](https://md.research.elamur.ai/free/en/papers/2026/page/57/) [next →](https://md.research.elamur.ai/free/en/papers/2026/page/55/) **[Towards Knowledge Graph-Grounded Evaluation of Agentic LLMs on Cybersecurity Capture-the-Flag Challenges](https://md.research.elamur.ai/free/en/papers/schlor-2026-knowledge-graph-grounded-evaluation-agentic/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Daniel Schlör, Marius Bohn, Maximilian Wolf, et al.*2026* - [Towards Linguistically-informed Representations for English as a Second or Foreign Language: Review, Construction and Application arXiv:2604.09008](https://md.research.elamur.ai/free/en/papers/li-2026-towards-linguistically-informed-representations-english/) — Wenxi Li, Xihao Wang, Weiwei Sun · 2026 **[Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation](https://md.research.elamur.ai/free/en/papers/yoon-2026-privacy-preserving-large-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jeongho Yoon, Chanhee Park, Yongchan Chun, et al.*2026* **[Towards Reliable AI Fairness: Challenges in Steering Features within Bias-Implicated Neurons](https://md.research.elamur.ai/free/en/papers/munoz-2026-reliable-ai-fairness-challenges-steering/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ismael Garrido-Munoz, Arturo Montejo-Raez, Fernando Martínez-Santiago*2026* - [Towards Robust Arabic Speech Emotion Recognition with Deep Learning arXiv:2606.10278](https://md.research.elamur.ai/free/en/papers/gheffari-2026-towards-robust-arabic-speech-emotion/) — Youcef Soufiane Gheffari, Samiya Silarbi · 2026 **[Towards Robust Evaluation of Visual Activity Recognition: Resolving Verb Ambiguity with Sense Clustering](https://md.research.elamur.ai/free/en/papers/yao-2026-robust-evaluation-visual-activity-recognition/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Louie Hong Yao, Nicholas Jarvis, Tianyu Jiang*2026* **[Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format Reasoning](https://md.research.elamur.ai/free/en/papers/ren-2026-robust-real-world-spreadsheet-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Houxing Ren, Mingjie Zhan, Zimu Lu, et al.*2026* **[Towards Scalable Lightweight GUI Agents via Multi-role Orchestration](https://md.research.elamur.ai/free/en/papers/wang-2026-scalable-lightweight-gui-agents-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziwei Wang, Junjie Zheng, Leyang Yang, et al.*2026* **[Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience Refinement](https://md.research.elamur.ai/free/en/papers/yang-2026-self-evolving-agents-enabling-autonomy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Yang, Xuemeng Yang, Licheng Wen, et al.*2026* **[Towards the First NLP Benchmark for Ladin - an Extremely Low-Resource Language](https://md.research.elamur.ai/free/en/papers/nuha-2026-first-nlp-benchmark-ladin-extremely/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ulin Nuha, Adam Jatowt*2026* **[Towards the LinkEn Knowledge Base. A Neuro-Symbolic Approach to Build a Linked Data Hub for English Lemmas with Large Language Models](https://md.research.elamur.ai/free/en/papers/augello-2026-linken-knowledge-base-neuro-symbolic/) [Workshop on Linked Data in Linguistics](https://md.research.elamur.ai/free/en/venues/ldl/)**Lorenzo Augello, Marco Passarotti*2026* **[Towards Trustworthy Smart Contract Synthesis: A Multi-Agent Framework with Lean-Based Verification](https://md.research.elamur.ai/free/en/papers/zhang-2026-trustworthy-smart-contract-synthesis-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bowei Zhang, Hanbing Liu, Qixin Tian, et al.*2026* **[Towards Understanding the Robustness of Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/saiyed-2026-understanding-robustness-sparse-autoencoders/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ahson Saiyed, Sabrina Sadiekh, Chirag Agarwal*2026* **[Towards Unified Factuality Evaluation for Biomedical QA and Summarization: Aligning Metrics with Clinical Use-Cases](https://md.research.elamur.ai/free/en/papers/roy-2026-unified-factuality-evaluation-biomedical-qa/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Mahule Roy, Subhas Roy*2026* **[Towards Unified Multimodal Large Language Models: A survey](https://md.research.elamur.ai/free/en/papers/ma-2026-unified-multimodal-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xu Ma, Yitian Zhang, Yun Fu*2026* **[Toxic dialogues: triggers and interaction patterns on Brazilian Reddit (Diálogos Tóxicos: Gatilhos e Padrões de Interação no Reddit Brasileiro)](https://md.research.elamur.ai/free/en/papers/piorino-2026-dialogos-toxicos-gatilhos-e-padroes/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Giovana Piorino, Marco Antônio de Alcântara Machado, Luiz Henrique Quevedo Lima, et al.*2026* **[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/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Hongyuan Adam Lu, Wai Lam*2026* **[ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway](https://md.research.elamur.ai/free/en/papers/park-2026-toxreason-benchmark-mechanistic-chemical-toxicity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jueon Park, WonJune Jang, Chanhwi Kim, et al.*2026* **[Toying with Style: Can GenAI Mimic a Literary Translator's Voice?](https://md.research.elamur.ai/free/en/papers/sopot-2026-toying-style-can-genai-mimic/) [Workshop on Style in GenAI-Translated Content (StyGenAI)](https://md.research.elamur.ai/free/en/venues/stygenai/)**Beniamin Sopot, Dorothy Kenny*2026* **[TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG](https://md.research.elamur.ai/free/en/papers/lu-2026-tpa-next-token-probability-attribution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengqian Lu, Jie Lu, Anjin Liu, et al.*2026* **[TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding Tasks](https://md.research.elamur.ai/free/en/papers/xu-2026-tps-bench-evaluating-ai-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanwen Xu, Xuyao Huang, Yuzhe Liu, et al.*2026* **[TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization](https://md.research.elamur.ai/free/en/papers/wu-2026-trac-teacher-guided-token-reward/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sitong Wu, Haoru Tan, Xichen Zhang, et al.*2026* **[TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2026-trace-experiential-framework-coherent-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingxu Wang, Jiaxin Huang, Mengzhu Wang, et al.*2026* **[TRACE: Two-Phase RL for Causal Graph Exploration and Deeper Psychological Intervention in Dynamic Counseling Scenarios](https://md.research.elamur.ai/free/en/papers/tang-2026-trace-two-phase-rl-causal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shilin Tang, Zunyi Yin, Xuefeng Liang, et al.*2026* **[TRACER: Early Failure Detection for Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/nourbakhsh-2026-tracer-early-failure-detection-task/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Erfan Nourbakhsh, Rocky Slavin, Ke Yang, et al.*2026* **[Tracing Mathematical Proficiency Through Problem-Solving Processes](https://md.research.elamur.ai/free/en/papers/park-2026-tracing-mathematical-proficiency-through-problem/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jungyang Park, Suho Kang, Jaewoo Park, et al.*2026* **[Tracing Morph Origins in Czech: A Computational Approach to Morph-Level Etymology](https://md.research.elamur.ai/free/en/papers/papacek-2026-tracing-morph-origins-czech-computational/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Aleš Manuel Manuel Papáček, Zdeněk Žabokrtský*2026* **[Tracing Relational Knowledge Recall in Large Language Models](https://md.research.elamur.ai/free/en/papers/popovic-2026-tracing-relational-knowledge-recall-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nicholas Popovič, Michael Färber*2026* **[Tracing the Light of Thought: A Probabilistic Self- and Cross-Consistency Verification Mechanism Improving Mathematical Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-tracing-light-thought-probabilistic-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaoyang Liu, Dawei Wang, Tian Li, et al.*2026* **[Tracing Thematic Change in Early English-Language Science Fiction, 1818-1930](https://md.research.elamur.ai/free/en/papers/gordon-2026-tracing-thematic-change-early-english/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**Jonathan Gordon*2026* **[Tracking Autism Stigma in Italian Newspapers: A Longitudinal Analysis of Media Discourse (2016–2025)](https://md.research.elamur.ai/free/en/papers/martinelli-2026-tracking-autism-stigma-italian-newspapers/) [Workshop on Linguistic Analysis for Health](https://md.research.elamur.ai/free/en/venues/healing/)**Ginevra Martinelli, Chiara Barattieri di San Pietro, Daniela Ovadia, et al.*2026* **[Tracking the Evolution of Foresight Signals in News Data: The Case of the European Electric Vehicle Market](https://md.research.elamur.ai/free/en/papers/navasartian-2026-tracking-evolution-foresight-signals-news/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Karine Navasartian*2026* **[Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets](https://md.research.elamur.ai/free/en/papers/xiao-2026-train-vain-functionality-preserving-poisoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuan Xiao, Jiaming Wang, Yuchen Chen, et al.*2026* **[Training Biomedical Retrievers From Large-Scale Citation Contexts](https://md.research.elamur.ai/free/en/papers/wang-2026-training-biomedical-retrievers-large-scale/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Xing David Wang, Duy Le Thanh, Ulf Leser*2026* **[Training data generation for context-dependent rubric-based short answer grading](https://md.research.elamur.ai/free/en/papers/sindelar-2026-training-data-generation-context-dependent/) [Leveraging Derived Text Formats to Unlock Copyrighted Collections for Open Science (DTF) @ LREC](https://md.research.elamur.ai/free/en/venues/dtf/)**Pavel Šindelář, Filip Prášil, Dávid Slivka, et al.*2026* **[Training Verifier to Assessing Complex Real-World Tool-Use Trajectories](https://md.research.elamur.ai/free/en/papers/sun-2026-training-verifier-assessing-complex-real/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Linzhuang Sun, Mingyang Chen, Hao Liang, et al.*2026* **[Training-Free Adaptive Speculative Decoding via Linguistic Priors](https://md.research.elamur.ai/free/en/papers/wang-2026-training-free-adaptive-speculative-decoding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingyi Wang, Jiaqi Huang, Zunnan Xu, et al.*2026* **[Training-Free Test-Time Contrastive Learning for Large Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-training-free-test-time-contrastive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaiwen Zheng, Kai Zhou, Jinwu Hu, et al.*2026* **[TrAinMR: an Annotator Training Website for Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/yang-2026-trainmr-annotator-training-website-abstract/) [International Workshop on Designing Meaning Representations @ LREC](https://md.research.elamur.ai/free/en/venues/dmr/)**Mina Yang, Shira Wein*2026* **[TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense](https://md.research.elamur.ai/free/en/papers/liu-2026-trajguard-streaming-hidden-state-trajectory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Liu, Xiaolei Liu, Xingyu Li, et al.*2026* **[Transatlantic Literary Import: Soviet Book-Length Translations of American Yiddish Authors](https://md.research.elamur.ai/free/en/papers/estraikh-2026-transatlantic-literary-import-soviet-book/) [Yod](https://md.research.elamur.ai/free/en/venues/yod/)**Gennady Estraikh*2026* **[Transcription Accuracy in the Icelandic Gigaword Corpus: Evaluating Automatic and Manual Annotation](https://md.research.elamur.ai/free/en/papers/mechler-2026-transcription-accuracy-icelandic-gigaword-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Johanna Mechler, Lilja Björk Stefánsdóttir, Anton Karl Ingason*2026* **[Transfer Learning for Creole TTS: A Pilot Study on Whether Substrate Phonologies or Lexifier Vocabularies Matter More](https://md.research.elamur.ai/free/en/papers/strickland-2026-transfer-learning-creole-tts-pilot/) [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/)**Emmett Strickland, Marc Evrard, Valentina Fedchenko*2026* **[Transfer Learning for Generalizable Automated LLM Improvement Pipeline for IVR Navigation](https://md.research.elamur.ai/free/en/papers/ram-2026-transfer-learning-generalizable-automated-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vishal Sankar Ram, Jason Kushner, Manas Paldhe, et al.*2026* **[Transferring Scientific English Pre-Trained Language Models to Multiple Languages Using Cross-Lingual Transfer](https://md.research.elamur.ai/free/en/papers/rauscher-2026-transferring-scientific-english-pre-trained/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Nikolas Rauscher, Fabio Barth, Georg Rehm*2026* **[Transformer Attention as a Unified Model of Encoding and Retrieval in Human Sentence Processing](https://md.research.elamur.ai/free/en/papers/parker-2026-transformer-attention-as-unified-model/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Dan Parker*2026* **[Transformer-Assisted LLM-Based Source Code Summarisation: to Enable More Secure Software Development](https://md.research.elamur.ai/free/en/papers/phillips-2026-transformer-assisted-llm-based-source/) [International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security](https://md.research.elamur.ai/free/en/venues/nlpaics/)**Jesse Phillips, Tracy Hall, Paul Rayson, et al.*2026* **[Transformer-based readability classifiers are worse than you think: Evidence from cross-domain Arabic readability assessment](https://md.research.elamur.ai/free/en/papers/alzubi-2026-transformer-based-readability-classifiers-are/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Sarah Alzubi, Robert Reynolds*2026* **[Transformers Learning Contrafactives: The Importance of Data Distributions](https://md.research.elamur.ai/free/en/papers/strohmaier-2026-transformers-learning-contrafactives-importance-data/) [Workshop on the Bridges and Gaps between Formal and Computational Linguistics](https://md.research.elamur.ai/free/en/venues/brigap/)**David Strohmaier, Simon Wimmer*2026* **[TranslateGemma for ES-EN Financial Reports: Exploring Adaptability to Variable-Sized Contexts](https://md.research.elamur.ai/free/en/papers/orta-2026-translategemma-es-en-financial-reports/) [Financial Narrative Processing Workshop](https://md.research.elamur.ai/free/en/venues/fnp/)**Yanco Amor Torterolo Orta, Melina Chatzi, Antonio Moreno-Sandoval*2026* **[Translation as Augmentation: Effect of Translated Data on Assessment of Difficulty](https://md.research.elamur.ai/free/en/papers/wu-2026-translation-as-augmentation-effect-translated/) [Workshop on Evaluating Text Difficulty in a Multilingual Context](https://md.research.elamur.ai/free/en/venues/determit/)**Yiheng Wu, Jue Hou, Roman Yangarber*2026* **[Translation from the Information Bottleneck Perspective: an Efficiency Analysis of Spatial Prepositions in Bitexts](https://md.research.elamur.ai/free/en/papers/taroni-2026-translation-information-bottleneck-perspective-efficiency/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Antoine Taroni, Ludovic Moncla, Frederique Laforest*2026* **[Translation Functions in Yiddish Folk Paraphrases of Psalm 118: Aims and methodology](https://md.research.elamur.ai/free/en/papers/lukin-2026-translation-functions-yiddish-folk-paraphrases/) [Yod](https://md.research.elamur.ai/free/en/venues/yod/)**Michael Lukin*2026* **[Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation](https://md.research.elamur.ai/free/en/papers/ye-2026-translation-thought-difficulty-adaptive-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongshi Ye, Biao Fu, Chongxuan Huang, et al.*2026* **[Translation-Augmented Multilingual Summarization for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/yadla-2026-translation-augmented-multilingual-summarization-low/) [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/)**Prasanth Yadla*2026* **[Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation](https://md.research.elamur.ai/free/en/papers/prama-2026-translation-cot-human-inspired-chain/) [Conference of the Association for Machine Translation in the Americas (AMTA)](https://md.research.elamur.ai/free/en/venues/amta/)**Tabia Tanzin Prama, Juniper L Lovato, Chris Danforth, et al.*2026* **[Translators' Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation](https://md.research.elamur.ai/free/en/papers/wyss-2026-translators-perceptions-edit-traces-quality/) [Conference of the Association for Machine Translation in the Americas (AMTA)](https://md.research.elamur.ai/free/en/venues/amta/)**Jeniffer Leal-Wyss, Gabriel Bernier-Colborne, Delaney Lothian, et al.*2026* **[Travel on the ICD Tree: Benchmarking Agentic Reasoning for ICD Coding from Chinese Electronic Medical Records](https://md.research.elamur.ai/free/en/papers/xu-2026-travel-icd-tree-benchmarking-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinjie Xu, Yongqi Fan, Shuang-shuang Chen, et al.*2026* **[TravelBehaviorQA: A Benchmark Dataset for Behavioral Interpretation of GPS Trajectories](https://md.research.elamur.ai/free/en/papers/zhen-2026-travelbehaviorqa-benchmark-dataset-behavioral-interpretation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dongyang Zhen, Niping Duan, Huan Zhou, et al.*2026* **[Treating Decoder-Only LLMs as Encoders: A Simple and Effective Fine-tuning Approach for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/yano-2026-treating-decoder-only-llms-as/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Ken Yano, Hiroya Takamura*2026* **[Tree-Based Interview Topic Guidance for Collecting Target Information under Adaptive Topic continuation/switching](https://md.research.elamur.ai/free/en/papers/nagasawa-2026-tree-based-interview-topic-guidance/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Fuminori Nagasawa, Ekai Hashimoto, Shun Shiramatsu*2026* **[Tree-CoT-RT: An Explainable Multi-Path Tree-Guided Chain-of-Thought and Reinforcement Learning Framework for Aspect Sentiment Quad Prediction](https://md.research.elamur.ai/free/en/papers/zhang-2026-tree-cot-rt-explainable-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Zhang, Jiahao Wang, Zhenke Duan, et al.*2026* **[Tree-Notebook: A Context-Aware Agent with Tree Search and Entropy-Aware Data Shadow for Interactive Data Science](https://md.research.elamur.ai/free/en/papers/qiu-2026-tree-notebook-context-aware-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junkun Qiu, Min Huang, Qinghai Miao*2026* **[Tree-of-Evidence: Efficient “System 2” Search for Faithful Multimodal Grounding](https://md.research.elamur.ai/free/en/papers/nnamdi-2026-tree-evidence-efficient-system-2/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Micky C. 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