---
title: "Who cites Benoit Steiner — page 5 — 4,980 papers of our library"
description: "4,980 papers of the Elamur Research library cite the works of Benoit Steiner, found in their bibliographies · page 5 of 5 · 401–473; the most…"
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---
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# Who cites Benoit Steiner

5,349 citations of their works from 4,980 papers of our library (of the 149,439 whose bibliographies we read) · 473 with a page here, the most cited first · page 5 of 5 · 401–473 · [← Benoit Steiner](https://md.research.elamur.ai/free/en/authors/benoit-steiner/)

[← prev](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/4/) [1](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/) … [4](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/4/) **5**

401. **[LEDA: a Large-Organization Email-Based Decision-Dialogue-Act Analysis Dataset](https://md.research.elamur.ai/free/en/papers/karan-2023-leda-large-organization-email-based/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Vanja Mladen Karan, Prashant Khare, Ravi Shekhar, et al.*2023 · 1 citation*
402. [**A neural prosody encoder for end-ro-end dialogue act classification arXiv:2205.05590**Kai Wei, Dillon Knox, Martin Radfar, et al.*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/wei-2022-neural-prosody-encoder-end-ro/)
403. **[CompLx@SMM4H'22: In-domain pretrained language models for detection of adverse drug reaction mentions in English tweets](https://md.research.elamur.ai/free/en/papers/xherija-2022-complx-smm4h-22-domain-pretrained/) [Social Media Mining for Health Research and Applications Workshop and Shared Tasks](https://md.research.elamur.ai/free/en/venues/smm4h/)**Orest Xherija, Hojoon Choi*2022 · 1 citation*
404. **[Speaker Clustering in Textual Dialogue with Pairwise Utterance Relation and Cross-corpus Dialogue Act Supervision](https://md.research.elamur.ai/free/en/papers/su-2022-speaker-clustering-textual-dialogue-pairwise/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zhihua Su, Qiang Zhou*2022 · 1 citation*
405. **[Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?](https://md.research.elamur.ai/free/en/papers/bansal-2021-can-rnns-trained-harder-subject/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal*2021 · 1 citation*
406. **[AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse](https://md.research.elamur.ai/free/en/papers/ou-2026-adapshot-adaptive-many-shot-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jie Ou, Jinyu Guo, Shiyao Guo, et al.*2026*
407. **[ADHD-Lang: A Large-Scale Social Media Dataset for Verbal Behavior and Digital Phenotyping in Adult ADHD](https://md.research.elamur.ai/free/en/papers/wiechmann-2026-adhd-lang-large-scale-social/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Daniel Wiechmann, Elma Kerz, Edward Kempa, et al.*2026*
408. **[AgriChain: Visually-Grounded Expert-Verified Reasoning for Interpretable Agricultural Vision–Language Models](https://md.research.elamur.ai/free/en/papers/mahmood-2026-agrichain-visually-grounded-expert-verified/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hazza Mahmood, Yongqiang Yu, Rao Anwer*2026*
409. **[AURORA: Neuro-Symbolic Continual Indexing for Evolving RAG Systems](https://md.research.elamur.ai/free/en/papers/saravanan-2026-aurora-neuro-symbolic-continual-indexing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Manoj Saravanan, Rohit Kumar Salla, Ramya Manasa Amancherla*2026*
410. **[Bangla Key2Text: Text Generation from Keywords for a Low Resource Language](https://md.research.elamur.ai/free/en/papers/talukder-2026-bangla-key2text-text-generation-keywords/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tonmoy Talukder, G M Shahariar*2026*
411. **[Beyond Query Bias: Candidate-Aware Iterative Refinement for Zero-Shot Composed Image Retrieval](https://md.research.elamur.ai/free/en/papers/sun-2026-beyond-query-bias-candidate-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nan Sun, Jing Tang, Lei Sun, et al.*2026*
412. **[Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference](https://md.research.elamur.ai/free/en/papers/zhouxuwen-2026-calibrated-speculative-decoding-frequency-guided/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhouxuwen, Fangxin Liu, Chao Wang, et al.*2026*
413. **[Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/zhou-2026-capability-decomposition-unified-information-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jing Zhou, Peng Wang, Wenjun Ke, et al.*2026*
414. **[ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/nkhata-2026-clusterrag-cluster-based-collaborative-filtering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gibson Nkhata, Uttamasha Anjally Oyshi, Quan Mai, et al.*2026*
415. **[Compact Example-Based Explanations for Language Models](https://md.research.elamur.ai/free/en/papers/schoenegger-2026-compact-example-based-explanations-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Loris Schoenegger, Benjamin Roth*2026*
416. **[Compressing Language Models for Specialized Domains](https://md.research.elamur.ai/free/en/papers/williams-2026-compressing-language-models-specialized-domains/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Miles Williams, George Chrysostomou, Vitor Amancio Jeronymo, et al.*2026*
417. **[Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer](https://md.research.elamur.ai/free/en/papers/tikhonov-2026-confidence-leaps-llm-reasoning-early/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pavel Tikhonov, Ivan Oseledets, Elena Tutubalina*2026*
418. **[Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards](https://md.research.elamur.ai/free/en/papers/yuan-2026-curing-miracle-steps-llm-mathematical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Youliang Yuan, Qiuyang Mang, Jingbang Chen, et al.*2026*
419. **[Data Augmentation Based on Selective Masking of Language Models for One Health Context](https://md.research.elamur.ai/free/en/papers/mahdoubi-2026-data-augmentation-based-selective-masking/) [Workshop on Linguistic Analysis for Health](https://md.research.elamur.ai/free/en/venues/healing/)**Youssef Mahdoubi, Najlae Idrissi, Mathieu Roche, et al.*2026*
420. **[Data Efficient RLVR via Off-Policy Influence Guidance](https://md.research.elamur.ai/free/en/papers/zhu-2026-data-efficient-rlvr-off-policy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Erle Zhu, Dazhi Jiang, Yuan Wang, et al.*2026*
421. **[DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and Trustworthiness](https://md.research.elamur.ai/free/en/papers/nikolaev-2026-deeppavlov-strikes-back-toolkit-improving/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Evgenii Nikolaev, Timur Ionov, Anna Korzanova, et al.*2026*
422. **[Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/mitsuhashi-2026-disentangling-effects-unlearning-measuring-parametric/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryo Mitsuhashi, Gaku Morio, Ayana Niwa, et al.*2026*
423. **[Emotion–Cause Pair Extraction in Conversations via Semantic Decoupling and Alignment](https://md.research.elamur.ai/free/en/papers/ma-2026-emotion-cause-pair-extraction-conversations/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tianxiang Ma, Weijie Feng, Xinyu Wang, et al.*2026*
424. **[Exploring Layer Activation Dynamic of CoT via Knowledge Probe](https://md.research.elamur.ai/free/en/papers/zhang-2026-exploring-layer-activation-dynamic-cot/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuanxin Zhang, Jiajun Liu, Yao He, et al.*2026*
425. **[From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning](https://md.research.elamur.ai/free/en/papers/zhan-2026-answers-arguments-trustworthy-clinical-diagnostic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chen Zhan, Xiaoyu Tan, Gengchen Ma, et al.*2026*
426. **[HCMUS_TheFangs at NakbaArchiveClassifier Shared Task: Foundation Models and Advanced Training Strategies for Conflict Damage Classification](https://md.research.elamur.ai/free/en/papers/sy-2026-hcmus-thefangs-nakbaarchiveclassifier-shared-task/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Duy Minh Dao Sy, Trung Kiet Huynh, Nguyen Chi Tran, et al.*2026*
427. **[HearSay Benchmark: Do Audio LLMs Leak What They Hear?](https://md.research.elamur.ai/free/en/papers/wang-2026-hearsay-benchmark-do-audio-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jin Wang, Kaiwen Luo, Liang Lin, et al.*2026*
428. **[KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?](https://md.research.elamur.ai/free/en/papers/saha-2026-kismath-do-llms-have-knowledge/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Soumadeep Saha, Akshay Chaturvedi, Saptarshi Saha, et al.*2026*
429. [**KliniskVestBERT: BERT Model Specialised to Norwegian Clinical Texts arXiv:2606.01904**Christian Autenried, Cosimo Persia*2026*](https://md.research.elamur.ai/free/en/papers/autenried-2026-kliniskvestbert-bert-model-specialised-norwegian/)
430. **[Knowledge-driven Augmentation and Retrieval for Integrative Temporal Adaptation](https://md.research.elamur.ai/free/en/papers/liu-2026-knowledge-driven-augmentation-retrieval-integrative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weisi Liu, Guangzeng Han, Xiaolei Huang*2026*
431. **[Learning Moral Diversity: Modelling Individual Perspectives in Moral Classification of Texts](https://md.research.elamur.ai/free/en/papers/ren-2026-learning-moral-diversity-modelling-individual/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Yi Ren, Lewis Mitchell, Matthew Roughan*2026*
432. **[Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language Models](https://md.research.elamur.ai/free/en/papers/shinoda-2026-let-s-put-ourselves-sally/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, et al.*2026*
433. **[Model-Agnostic Meta Learning for Class Imbalance Adaptation](https://md.research.elamur.ai/free/en/papers/rao-2026-model-agnostic-meta-learning-class/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanshu Rao, Guangzeng Han, Xiaolei Huang*2026*
434. **[Modeling Human Perspectives with Socio-Demographic Representations](https://md.research.elamur.ai/free/en/papers/zhang-2026-modeling-human-perspectives-socio-demographic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Leixin Zhang, Cagri Coltekin*2026*
435. **[Multimodal Dual-Path Decoding for Medical Report Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-multimodal-dual-path-decoding-medical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinghan Sun, Dong Wei, Zhihong Zhu, et al.*2026*
436. **[NSF-CoT: Neuro-Symbolic Formal Verification of Chain-of-Thought Faithfulness in Contextual Question Answering](https://md.research.elamur.ai/free/en/papers/pramanik-2026-nsf-cot-neuro-symbolic-formal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Vishal Pramanik, Maisha Maliha, Nathaniel D. Bastian, et al.*2026*
437. **[Perspicere at SemEval-2026 Task 2: Modeling Longitudinal Valence and Arousal via Dense Embeddings and Agentic Reasoning](https://md.research.elamur.ai/free/en/papers/zehab-2026-perspicere-semeval-2026-task-2/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Kamyar Moradian Zehab, Mohammad Sadegh Poulaei, Nasser Mozayani*2026*
438. **[Prefix Parsing is Just Parsing](https://md.research.elamur.ai/free/en/papers/pasti-2026-prefix-parsing-is-just-parsing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Clemente Pasti, Andreas Opedal, Timothy J. O'Donnell, et al.*2026*
439. **[PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations](https://md.research.elamur.ai/free/en/papers/wu-2026-prism-probing-reasoning-instruction-source/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhe Wu, Guangyu Wang, Yuran Chen, et al.*2026*
440. **[Probabilistic Depression Detection from Textual Time Series](https://md.research.elamur.ai/free/en/papers/schmidt-2026-probabilistic-depression-detection-textual-time/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fabian Schmidt, Seyedehmoniba Ravan, Vladimir Vlassov*2026*
441. **[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*
442. **[ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation Attacks](https://md.research.elamur.ai/free/en/papers/lv-2026-reasmark-robust-watermark-attributing-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peizhuo Lv, Ruihua Zhou, Yunpeng Li, et al.*2026*
443. **[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*
444. **[RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models](https://md.research.elamur.ai/free/en/papers/moghaddam-2026-reprompt-recurrent-prompt-tuning-integrating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Arya Hadizadeh Moghaddam, Drew Ross, Mohsen Nayebi Kerdabadi, et al.*2026*
445. **[Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-revisiting-pain-neck-semantic-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Liu, Hongming Li, Melissa Xiaohui Qin, et al.*2026*
446. **[Rewriting History: A Recipe for Interventional Analyses to Study Data Effects on Model Behavior](https://md.research.elamur.ai/free/en/papers/nadkarni-2026-rewriting-history-recipe-interventional-analyses/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Rahul Nadkarni, Yanai Elazar, Hila Gonen, et al.*2026*
447. **[Selective Span-Level Unlearning for Large Language Models](https://md.research.elamur.ai/free/en/papers/yoon-2026-selective-span-level-unlearning-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chaewon Yoon, Dongjun Kim, Hyun-Je Song*2026*
448. **[Sentiment Syndicate at SemEval-2026 Task 6: Reframing Political Question–Answer Interactions via Natural Language Inference for Clarity Level Classification](https://md.research.elamur.ai/free/en/papers/rafsan-2026-sentiment-syndicate-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Rafi Rafsan*2026*
449. **[Simulating Sense Extension](https://md.research.elamur.ai/free/en/papers/maudslay-2026-simulating-sense-extension/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Rowan Hall Maudslay, Simone Teufel*2026*
450. **[SLPGFJWUWarda at SemEval-2026 Task 1: A Multimodal Vision-Language Approach for Humor Generation Using Fine-Tuned BLIP](https://md.research.elamur.ai/free/en/papers/yousaf-2026-slpgfjwuwarda-semeval-2026-task-1/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Warda Yousaf*2026*
451. **[SyntaxMind at SemEval-2026 Task 6: Exploring Transformers and LLMs for Unmasking Political Question Evasions](https://md.research.elamur.ai/free/en/papers/riad-2026-syntaxmind-semeval-2026-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Md. Shihab Uddin Riad*2026*
452. **[syuhhh@EEUCA 2026: A Three-Stage Progressive Training Framework for Fine-Grained Toxicity Detection in Online Gaming Communities](https://md.research.elamur.ai/free/en/papers/shi-2026-syuhhh-eeuca-2026-three-stage/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Yuhao Shi, Yu Wang, Shengjie Zhao*2026*
453. **[The Development of Spectral and Temporal Encodings in Speech Sounds](https://md.research.elamur.ai/free/en/papers/tan-2026-development-spectral-temporal-encodings-speech/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Frank Lihui Tan, Youngah Do*2026*
454. **[The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning](https://md.research.elamur.ai/free/en/papers/tian-2026-devil-is-distributions-explicit-modeling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mingkai Tian, Guorong Li, Yuankai Qi, et al.*2026*
455. **[The Inner Monologue of Language Models: When Reasoning Traces Reveal More Than They Hide](https://md.research.elamur.ai/free/en/papers/singla-2026-inner-monologue-language-models-when/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pratham Singla, Shivank Garg, Ayush Singh, et al.*2026*
456. **[Through the Sentence Lens: Explainable Essay Scoring through Fine-Grained Predictions](https://md.research.elamur.ai/free/en/papers/melanchthon-2026-through-sentence-lens-explainable-essay/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Daniel Mora Melanchthon, Stefan Keller, Andrea Horbach*2026*
457. **[TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-training](https://md.research.elamur.ai/free/en/papers/wang-2026-tikmix-efficient-semi-dynamic-data/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifan Wang, Binbinliu, Fengze Liu, et al.*2026*
458. **[Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and Humanities](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-responsible-epistemically-grounded-multilingual-llms/) [Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC](https://md.research.elamur.ai/free/en/venues/llms4ssh/)**Wajdi Zaghouani*2026*
459. **[TrustTable: A Neuro-Symbolic Auditing Framework for Faithful Table QA](https://md.research.elamur.ai/free/en/papers/zhao-2026-trusttable-neuro-symbolic-auditing-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangzhen Zhao, Dechang Kong, Tongyu Wu, et al.*2026*
460. **[Union-of-Experts: Neurons in Mixture-of-Experts are Secretly Routers](https://md.research.elamur.ai/free/en/papers/wu-2026-union-experts-neurons-mixture-experts/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Songhao Wu, Ang Lv, Ruobing Xie, et al.*2026*
461. **[Validator-Guided Hard Negative Mining for Masked Language Modeling in Low-Resource Ancient Languages](https://md.research.elamur.ai/free/en/papers/voinea-2026-validator-guided-hard-negative-mining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Andrei Voinea*2026*
462. **[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*
463. **[WeightLoRA: Keep Only Necessary Adapters](https://md.research.elamur.ai/free/en/papers/veprikov-2026-weightlora-keep-only-necessary-adapters/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Andrey Veprikov, Vladimir Solodkin, Zyl Alexander, et al.*2026*
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