---
title: "Who cites Dacheng Li — page 8 — 3,560 papers of our library"
description: "3,560 papers of the Elamur Research library cite the works of Dacheng Li, found in their bibliographies · page 8 of 8 · 701–775; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/dacheng-li/cited-by/page/8/"
---
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# Who cites Dacheng Li

3,761 citations of their works from 3,560 papers of our library (of the 149,439 whose bibliographies we read) · 775 with a page here, the most cited first · page 8 of 8 · 701–775 · [← Dacheng Li](https://md.research.elamur.ai/free/en/authors/dacheng-li/)

[← prev](https://md.research.elamur.ai/free/en/authors/dacheng-li/cited-by/page/7/) [1](https://md.research.elamur.ai/free/en/authors/dacheng-li/cited-by/) … [7](https://md.research.elamur.ai/free/en/authors/dacheng-li/cited-by/page/7/) **8**

701. **[LLM-as-a-Jury for Machine Translation Publishability Assessment](https://md.research.elamur.ai/free/en/papers/yanishevsky-2026-llm-as-jury-machine-translation/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Alex Yanishevsky, Olivia Norris*2026*
702. **[LLMs are Brittle to Simple Code Transformations: Introducing CETBench – A Benchmark for Code-Equivalence Checking](https://md.research.elamur.ai/free/en/papers/oza-2026-llms-are-brittle-simple-code/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Neeva Oza, Ishaan Govil, Parul Gupta, et al.*2026*
703. **[Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning](https://md.research.elamur.ai/free/en/papers/liu-2026-look-within-or-beyond-theoretical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**YongKang Liu, Xingle Xu, Ercong Nie, et al.*2026*
704. **[LUMINA: Long-horizon Understanding for Multi-turn Interactive Agents](https://md.research.elamur.ai/free/en/papers/rakhsha-2026-lumina-long-horizon-understanding-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Amin Rakhsha, Thomas Hehn, Pietro Mazzaglia, et al.*2026*
705. [**LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question Answering arXiv:2607.02763**Nina Hosseini-Kivanani, Marco Matassoni, Alessio Brutti*2026*](https://md.research.elamur.ai/free/en/papers/hosseini-kivanani-2026-luxsqa-ask-me-luxembourgish-tts/)
706. **[MERIT Feedback Elicits Better Bargaining in LLM Negotiators](https://md.research.elamur.ai/free/en/papers/oh-2026-merit-feedback-elicits-better-bargaining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jihwan Oh, Murad Aghazada, Yooju Shin, et al.*2026*
707. **[Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling](https://md.research.elamur.ai/free/en/papers/liu-2026-mitigating-judgment-preference-bias-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuliang Liu, Zhipeng Xu, Zhenghao Liu, et al.*2026*
708. **[Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/zheng-2026-model-directions-not-words-mechanistic/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, et al.*2026*
709. **[MonCulture-Eval: A Hierarchical Benchmark for Evaluating Mongolian Cultural Capabilities of Large Language Models across Scripts and Regions](https://md.research.elamur.ai/free/en/papers/minggad-2026-monculture-eval-hierarchical-benchmark-evaluating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Quulgan Minggad, Xiao Zinan, Yuan Sun*2026*
710. **[MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks](https://md.research.elamur.ai/free/en/papers/ruan-2026-mtr-suite-framework-evaluating-synthesizing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junhao Ruan, Abudukeyumu Abudula, Bei Li, et al.*2026*
711. **[Multi-dimensional Evaluation of Character-Authentic Dialogue Models Learned from Question-Answer Data](https://md.research.elamur.ai/free/en/papers/otsuka-2026-multi-dimensional-evaluation-character-authentic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Atsushi Otsuka, Kazuya Matsuo, Kenta Hama, et al.*2026*
712. **[MuSe: Multi-Stage Graph Reasoning via Vision-Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-muse-multi-stage-graph-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanyu Wang, Xu Chu, Zhijie Tan, et al.*2026*
713. **[OASIS: Mitigating Harmful Fine-tuning Attacks on LLMs via Orthogonal and Adaptive Safety Alignment Strategy](https://md.research.elamur.ai/free/en/papers/tang-2026-oasis-mitigating-harmful-fine-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiayu Tang, Guowei Peng, Qiuhao Xie, et al.*2026*
714. **[One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction](https://md.research.elamur.ai/free/en/papers/lu-2026-one-panel-does-not-fit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxing Lu, Yushuhong Lin, Jason Zhang*2026*
715. **[POINTERS at UZH Shared Task 2026: Reasoning Probes for Argumentation Mining in UN Resolutions](https://md.research.elamur.ai/free/en/papers/sen-2026-pointers-uzh-shared-task-2026/) [Workshop on Argument Mining](https://md.research.elamur.ai/free/en/venues/argmining/)**Sohom Sen, Avina Nakarmi, Xun Song, et al.*2026*
716. **[Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not Stable](https://md.research.elamur.ai/free/en/papers/tang-2026-probing-plasticity-correlation-llm-value/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenheng Tang, Qihua Pan, Jingya Shen, et al.*2026*
717. **[PropGenie: A Multi-Agent Conversational Framework for Real Estate Assistance](https://md.research.elamur.ai/free/en/papers/shen-2026-propgenie-multi-agent-conversational-framework/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Chang Shen, Shaozu Yuan, Kuizong Wu, et al.*2026*
718. **[Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs](https://md.research.elamur.ai/free/en/papers/si-2026-pruning-unsafe-tickets-resource-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wai Man Si, Mingjie Li, Michael Backes, et al.*2026*
719. **[Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM Search](https://md.research.elamur.ai/free/en/papers/mccleary-2026-quantifying-accuracy-cost-impact-design/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kyle A. McCleary, James M. Ghawaly*2026*
720. **[QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/qu-2026-quantumqa-enhancing-scientific-reasoning-physics/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Songxin Qu, Tai-Ping Sun, Yun-Jie Wang, et al.*2026*
721. **[RADO: Reasoning Audit-Driven Optimization for Rigorous Reasoning in High-Stakes Domains](https://md.research.elamur.ai/free/en/papers/tan-2026-rado-reasoning-audit-driven-optimization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhijie Tan, Xu Chu, Guanyu Wang, et al.*2026*
722. **[RE-AD: Real-Time Requirement Adherence for Data Labeling](https://md.research.elamur.ai/free/en/papers/malreddy-2026-re-ad-real-time-requirement/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Siddarth Malreddy, Ishan Nigam, Akshay Arora, et al.*2026*
723. **[Reasoning About Gender: How Source Text Strategies Impact Italian–to-German Machine Translation Beyond the Binary](https://md.research.elamur.ai/free/en/papers/natale-2026-reasoning-about-gender-how-source/) [Workshop on Gender-Inclusive Translation Technologies](https://md.research.elamur.ai/free/en/venues/gitt/)**Paolo Di Natale, Laura Schlutter, Elena Chiocchetti, et al.*2026*
724. **[Reasoning Graph-Structured Question Answering: Datasets and Insights from LLM Benchmarking](https://md.research.elamur.ai/free/en/papers/yone-2026-reasoning-graph-structured-question-answering/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Khin Yone, Devasha Trivedi, Anish Pahilajani, et al.*2026*
725. **[RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-Context](https://md.research.elamur.ai/free/en/papers/petty-2026-relic-evaluating-complex-reasoning-recognition/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jackson Petty, Michael Y. Hu, Wentao Wang, et al.*2026*
726. [**Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling arXiv:2604.28075**Ansar Aynetdinov, Patrick Haller, Alan Akbik*2026*](https://md.research.elamur.ai/free/en/papers/aynetdinov-2026-repetition-over-diversity-high-signal/)
727. **[Reward Modeling for Scientific Writing Evaluation](https://md.research.elamur.ai/free/en/papers/sahinuc-2026-reward-modeling-scientific-writing-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych*2026*
728. **[RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research Problems](https://md.research.elamur.ai/free/en/papers/liu-2026-roadmapper-multi-agent-system-roadmap/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiacheng Liu, Zichen Tang, Zhongjun Yang, et al.*2026*
729. **[RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams](https://md.research.elamur.ai/free/en/papers/man-2026-rod-tal-benchmark-answering-questions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Andrei Vlad Man, Răzvan-Alexandru Smădu, Cristian-George Craciun, et al.*2026*
730. **[Russian Generative Spelling, Punctuation and Capitalization Correction](https://md.research.elamur.ai/free/en/papers/martynov-2026-russian-generative-spelling-punctuation-capitalization/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nikita Martynov, Danil Astafurov, Ulyana Isaeva, et al.*2026*
731. **[Safe-FedLLM: Delving into the Safety of Federated Large Language Models](https://md.research.elamur.ai/free/en/papers/tao-2026-safe-fedllm-delving-into-safety/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingxiang Tao, Yu Tian, Wenxuan Tu, et al.*2026*
732. **[Scaling Intent Understanding: A Framework for Classification with Clarification using Lightweight LLMs](https://md.research.elamur.ai/free/en/papers/nandi-2026-scaling-intent-understanding-framework-classification/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Subhadip Nandi, Tanishka Agarwal, Anshika Singh, et al.*2026*
733. **[SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness](https://md.research.elamur.ai/free/en/papers/lu-2026-sdiareward-modeling-benchmarking-spoken-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingyu Lu, Yuhan Wang, Fan Zhuo, et al.*2026*
734. **[SEA-SafeguardBench: Culturally Grounded Safety Benchmark for Southeast Asian Languages](https://md.research.elamur.ai/free/en/papers/tasawong-2026-sea-safeguardbench-culturally-grounded-safety/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Panuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji, et al.*2026*
735. **[Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-self-guided-alignment-adaptive-preference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ning Wang, Zhanyang Liu, Taotao Zhou, et al.*2026*
736. **[Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize](https://md.research.elamur.ai/free/en/papers/wang-2026-self-sum-teaching-agent-decide/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongru Wang, Rui Wang, Jushi Kai, et al.*2026*
737. **[SEMIROUTER: Sparse-Data Enhanced Routing for Adaptive Multi-LLM System](https://md.research.elamur.ai/free/en/papers/wang-2026-semirouter-sparse-data-enhanced-routing/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zijie Wang, Xinyu Yan, Che Wang, et al.*2026*
738. **[SGVEF-LOOP: Coverage-Guided Progressive Topological Exploration and Fact-Grounded Metamorphic Evaluation for MCP Agents](https://md.research.elamur.ai/free/en/papers/liu-2026-sgvef-loop-coverage-guided-progressive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zenghao Liu, Yansong Zhang*2026*
739. **[SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models](https://md.research.elamur.ai/free/en/papers/mai-2026-sharedrequest-privacy-preserving-model-agnostic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peihua Mai, Xuanrong Gao, Youlong Ding, et al.*2026*
740. **[Smarter edits? Post-editing with error highlights and translation suggestions](https://md.research.elamur.ai/free/en/papers/tellingen-2026-smarter-edits-post-editing-error/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Fleur V.J. van Tellingen, Gautam Ranka, Dora Žugčić, et al.*2026*
741. **[Social-RAG: A Retrieval-Augmented Generation Pipeline for Computational Social Science Research on Telegram](https://md.research.elamur.ai/free/en/papers/nascimento-2026-social-rag-retrieval-augmented-generation/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Leonardo Nascimento, Eric Brasil, Arthur Lima, et al.*2026*
742. [**SteuerLLM: Local specialized large language model for German tax law analysis arXiv:2602.11081 · Scientific Reports, Volume 16, 2026**Sebastian Wind, Jeta Sopa, Laurin Schmid, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wind-2026-steuerllm-local-specialized-large-language/)
743. **[STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains](https://md.research.elamur.ai/free/en/papers/steinigen-2026-strudel-unrolling-benchmark-evaluating-vision/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Daniel Steinigen, Lucie Flek, Sebastian Houben*2026*
744. **[Stylistic Transfer from Annotator Communities to Large Language Models](https://md.research.elamur.ai/free/en/papers/chooi-2026-stylistic-transfer-annotator-communities-large/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Jay Chooi*2026*
745. **[Suppressing Final Layer Hidden State Jumps in Transformer Pretraining](https://md.research.elamur.ai/free/en/papers/shibata-2026-suppressing-final-layer-hidden-state/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Keigo Shibata, Kazuki Yano, Ryosuke Takahashi, et al.*2026*
746. **[Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue](https://md.research.elamur.ai/free/en/papers/utting-2026-surprisal-minimisation-over-goal-directed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Thomas P. Utting, Mario Giulianelli, Arabella Sinclair*2026*
747. **[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*
748. **[Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/schaffelder-2026-synthetic-eggs-many-baskets-impact/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Max Schaffelder, Albert Gatt*2026*
749. **[Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-Tuning](https://md.research.elamur.ai/free/en/papers/stenlund-2026-synthetic-instruction-generation-low-resource/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.*2026*
750. **[TARE: Lightweight Token-Aware Representation Editing for Fine-tuning Transformer-like Models](https://md.research.elamur.ai/free/en/papers/wang-2026-tare-lightweight-token-aware-representation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yulong Wang, Siyu Zhao*2026*
751. **[Teaching LLMs to unveil tendentious implicit contents of Italian political communication](https://md.research.elamur.ai/free/en/papers/paci-2026-teaching-llms-unveil-tendentious-implicit/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Walter Paci, Lorenzo Gregori, Alessandro Panunzi*2026*
752. **[Teaching People LLM's Errors and Getting it Right](https://md.research.elamur.ai/free/en/papers/stringham-2026-teaching-people-llm-s-errors/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Nathan Stringham, Fateme Hashemi Chaleshtori, Xinyuan Yan, et al.*2026*
753. **[TeachMaster: Generative Teaching via Code](https://md.research.elamur.ai/free/en/papers/wang-2026-teachmaster-generative-teaching-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuheng Wang, Runde Yang, Lin Wu, et al.*2026*
754. **[The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check](https://md.research.elamur.ai/free/en/papers/lu-2026-bitter-lesson-diffusion-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyu Lu, Liang Ding, Kanjian Zhang, et al.*2026*
755. **[Thesis Proposal: Intentional Inference for Insight Generation](https://md.research.elamur.ai/free/en/papers/onderkova-2026-thesis-proposal-intentional-inference-insight/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kristýna Onderková*2026*
756. **[Thesis Proposal: Multimodal Benchmark for Music Understanding in Large Language Models](https://md.research.elamur.ai/free/en/papers/sourada-2026-thesis-proposal-multimodal-benchmark-music/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tomáš Sourada*2026*
757. **[Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI Alignment](https://md.research.elamur.ai/free/en/papers/pandita-2026-thesis-proposal-human-centered-perspective/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Deepak Pandita, Christopher M. Homan*2026*
758. **[Thinking Like a Botanist: Challenging Multimodal Language Models with Intent Driven Chain-of-Inquiry](https://md.research.elamur.ai/free/en/papers/sakib-2026-thinking-like-botanist-challenging-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Syed Nazmus Sakib, Nafiul Haque, Shahrear Bin Amin, et al.*2026*
759. **[ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood Model](https://md.research.elamur.ai/free/en/papers/wang-2026-tomelp-theory-mind-benchmark-route/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ruirui Wang, Haoran Zhang, Tian Lan, et al.*2026*
760. **[Topic-Initiator: A Proactive Chatbot with Personalized Topic RAG for Enhancing Willingness to Converse](https://md.research.elamur.ai/free/en/papers/matsuo-2026-topic-initiator-proactive-chatbot-personalized/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kazuya Matsuo, Atsushi Otsuka, Narichika Nomoto, et al.*2026*
761. **[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*
762. **[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*
763. **[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*
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765. **[TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment](https://md.research.elamur.ai/free/en/papers/tan-2026-triplay-rl-tri-role-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhewen Tan, Wenhan Yu, Jianfeng Si, et al.*2026*
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767. **[VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation](https://md.research.elamur.ai/free/en/papers/park-2026-vauq-vision-aware-uncertainty-quantification/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Seongheon Park, Changdae Oh, Hyeong Kyu Choi, et al.*2026*
768. **[Verifying the Subjective: Structured Multilingual Rewards for Low-Resource Alignment](https://md.research.elamur.ai/free/en/papers/sha-2026-verifying-subjective-structured-multilingual-rewards/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiu Sha, Mengxiao Zhu*2026*
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775. [**360Zhinao Technical Report arXiv:2405.13386***2024*](https://md.research.elamur.ai/free/en/papers/360zhinao-team-2024-360zhinao-technical-report/)

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