---
title: "Who cites Abhishek Kadian — page 14 — 7,851 citing papers"
description: "7,851 papers of the Elamur Research library cite the works of Abhishek Kadian, found in their bibliographies · page 14 of 18 · 1301–1400; the…"
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---
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# Who cites Abhishek Kadian

7,894 citations of their works from 7,851 papers of our library (of the 149,439 whose bibliographies we read) · 1,738 with a page here, the most cited first · page 14 of 18 · 1301–1400 · [← Abhishek Kadian](https://md.research.elamur.ai/free/en/authors/abhishek-kadian/)

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1301. **[How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities](https://md.research.elamur.ai/free/en/papers/xu-2026-how-controllable-are-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziwen Xu, Kewei Xu, Haoming Xu, et al.*2026*
1302. **[How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study](https://md.research.elamur.ai/free/en/papers/yang-2026-how-do-llms-vlms-understand/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Yang, Ping Jian, Zhongbin Guo, et al.*2026*
1303. **[How Do LLMs Generate Contrastive Sentiments? A Mechanistic Perspective](https://md.research.elamur.ai/free/en/papers/nguyen-2026-how-do-llms-generate-contrastive/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Van Bach Nguyen, Jörg Schlötterer, Christin Seifert*2026*
1304. [**How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline arXiv:2604.04204**Mir Tafseer Nayeem, Davood Rafiei*2026*](https://md.research.elamur.ai/free/en/papers/nayeem-2026-english-us-become-default-triangulating/)
1305. **[How Foundation Models Behave for Arabic Image Captioning?](https://md.research.elamur.ai/free/en/papers/dahimi-2026-how-foundation-models-behave-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Khaoula Dahimi, Amel Belabbaci, Hadda Cherroun, et al.*2026*
1306. **[How to Improve LLMs' Performance on Specific Languages: A Perspective on LLM-Derived Language Similarity](https://md.research.elamur.ai/free/en/papers/shi-2026-how-improve-llms-performance-specific/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinhe Shi, Qingcheng Zeng, Weihao Xuan, et al.*2026*
1307. **[How to Make LMs Strong Node Classifiers?](https://md.research.elamur.ai/free/en/papers/xu-2026-how-make-lms-strong-node/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhe Xu, Kaveh Hassani, Si Zhang, et al.*2026*
1308. **[HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs](https://md.research.elamur.ai/free/en/papers/peng-2026-hss-synth-humanities-social-sciences/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ru Peng, Tianyu Zhao, Xijun Gu, et al.*2026*
1309. **[HTMR: Hybrid Token Masking Reinforcement Learning with Verifiable Rewards for Event Argument Extraction with Multi-Perspective Reasoning](https://md.research.elamur.ai/free/en/papers/luo-2026-htmr-hybrid-token-masking-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianwen Luo, Yongkang Jin, Yu Hong, et al.*2026*
1310. **[Human vs LLM in Conversational Repair Annotation: A New Resource and Comparative Study](https://md.research.elamur.ai/free/en/papers/ngo-2026-human-vs-llm-conversational-repair/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Anh Ngo, Nicolas Rollet, Catherine Pelachaud, et al.*2026*
1311. **[HybridCodeAuthorship: A Benchmark Dataset for Line-Level Code Authorship Detection](https://md.research.elamur.ai/free/en/papers/patterson-2026-hybridcodeauthorship-benchmark-dataset-line-level/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Luke S. Patterson, Li Wang, Adam Faulkner*2026*
1312. **[HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks](https://md.research.elamur.ai/free/en/papers/zeng-2026-hyperedit-unlocking-instruction-based-text/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiming Zeng, Jinghan Cao, Zexin Li, et al.*2026*
1313. **[Identifying Imaging Follow-Up in Radiology Reports: A Comparative Analysis of Traditional ML and LLM Approaches](https://md.research.elamur.ai/free/en/papers/park-2026-identifying-imaging-follow-up-radiology/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Namu Park, Giridhar Kaushik Ramachandran, Kevin Lybarger, et al.*2026*
1314. **[Identity-Robust Language Model Generation via Content Integrity Preservation](https://md.research.elamur.ai/free/en/papers/zhang-2026-identity-robust-language-model-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Miao Zhang, Kelly Chen, Mehrab Tanjim, et al.*2026*
1315. [**Ideology Prediction of German Political Texts arXiv:2605.14352**Sinclair Schneider, Florian Steuber, Joao A. G. Schneider, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schneider-2026-ideology-prediction-german-political-texts/)
1316. **[ILSIC: Corpora for Identifying Indian Legal Statutes from Queries by Laymen](https://md.research.elamur.ai/free/en/papers/paul-2026-ilsic-corpora-identifying-indian-legal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shounak Paul, Raghav Dogra, Pawan Goyal, et al.*2026*
1317. **[ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following](https://md.research.elamur.ai/free/en/papers/yang-2026-imprif-stronger-implicit-reasoning-leads/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuancheng Yang, Lin Yang, Xu Wang, et al.*2026*
1318. **[Improving Chain-of-Thought for Logical Reasoning via Attention-Aware Intervention](https://md.research.elamur.ai/free/en/papers/nguyen-2026-improving-chain-thought-logical-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Phuong Minh Nguyen, Dang Huu-Tien, Naoya Inoue*2026*
1319. **[Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization](https://md.research.elamur.ai/free/en/papers/zhang-2026-improving-retrieval-augmented-generation-without/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gongbo Zhang, Yifan Peng, Chunhua Weng*2026*
1320. **[IndicMedDialog: A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages](https://md.research.elamur.ai/free/en/papers/nigam-2026-indicmeddialog-parallel-multi-turn-medical/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Shubham Kumar Nigam, Suparnojit Sarkar, Piyush Patel*2026*
1321. [**Individual and Combined Effects of English as a Second Language and Typos on LLM Performance arXiv:2604.04723**Serena Liu; Yutong Yang; Prisha Sheth; Weixuan Dong; Mingjiao Diao; Xinru Zhu; Nikhil Banga; Oscar Melendez; Arnav Sharma; Minda Zhao; Marina Lin;, Mengyu Wang*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-individual-combined-effects-english-second/)
1322. **[Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QA](https://md.research.elamur.ai/free/en/papers/pei-2026-information-asymmetry-across-language-varieties/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Renhao Pei, Siyao Peng, Verena Blaschke, et al.*2026*
1323. **[InsAT: Instance-aware Semantic Alignment and Transfer from Human–Object Keypoints for Zero-to-Few-shot Action Understanding](https://md.research.elamur.ai/free/en/papers/tsutsukawa-2026-insat-instance-aware-semantic-alignment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kazuki Tsutsukawa*2026*
1324. **[InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/su-2026-instructdiff-domain-adaptive-data-selection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junyou Su, He Zhu, Xiao Luo, et al.*2026*
1325. **[InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in Summarization](https://md.research.elamur.ai/free/en/papers/nishida-2026-instructsum-benchmark-evaluate-instruction-following/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kosuke Nishida, Kyosuke Nishida, Itsumi Saito*2026*
1326. **[Interlinear Glosses as a Multilingual Pivot for Machine Translation: An Updated Study on Turkish with Restricted Resources](https://md.research.elamur.ai/free/en/papers/ozer-2026-interlinear-glosses-as-multilingual-pivot/) [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/)**Volkan Ozer, Shu Okabe, Alexander Fraser*2026*
1327. **[Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation](https://md.research.elamur.ai/free/en/papers/wang-2026-interpretable-safety-alignment-sae-constructed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dianyun Wang, Qingsen Ma, Yuhu Shang, et al.*2026*
1328. **[Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications](https://md.research.elamur.ai/free/en/papers/lu-2026-inverting-shield-systematically-generating-safety/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyue Lu, Xianglin Yang, Haijun Liu, et al.*2026*
1329. [**Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguistic Style in English and Arabic with Six Large Language Models arXiv:2603.23251**Nasser A Alsadhan*2026*](https://md.research.elamur.ai/free/en/papers/alsadhan-2026-ai-catching-up-human-expression/)
1330. **[Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus](https://md.research.elamur.ai/free/en/papers/mannion-2026-is-biomedical-specialization-still-worth/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aidan Mannion, Cécile Macaire, Armand Violle, et al.*2026*
1331. **[Is There Anything More Deceptive than an Obvious Fact? Investigating Implicitness in User-Generated Argumentative Text](https://md.research.elamur.ai/free/en/papers/sviridova-2026-is-there-anything-more-deceptive/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ekaterina Sviridova, Elena Cabrio, Serena Villata*2026*
1332. **[Iterative Knowledge Graph Refinement and Integration for Medical Question Answering](https://md.research.elamur.ai/free/en/papers/zou-2026-iterative-knowledge-graph-refinement-integration/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haochen Zou, Yongli Wang*2026*
1333. **[IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/yun-2026-itercomp-reasoning-aware-adaptive-prompt/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**JungMin Yun, YoungBin Kim*2026*
1334. **[Ithaca Revisited: Benchmarking a Domain-Specific Model for Epigraphy in the Age of LLMs](https://md.research.elamur.ai/free/en/papers/locaputo-2026-ithaca-revisited-benchmarking-domain-specific/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Alessandro Locaputo, Andrea Brunello, Nicola Saccomanno, et al.*2026*
1335. **[Jailbreaking Large Language Models with Morality Attacks](https://md.research.elamur.ai/free/en/papers/su-2026-jailbreaking-large-language-models-morality/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ying Su, Zheng Mingen, Weili Diao, et al.*2026*
1336. **[JFC-Recipe: A Dataset for Nutrient Estimation from Japanese User-Generated Cooking Recipes](https://md.research.elamur.ai/free/en/papers/shirai-2026-jfc-recipe-dataset-nutrient-estimation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Keisuke Shirai, Yoko Yamakata, Hirotaka Kameko, et al.*2026*
1337. **[JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models' Detection of Human risky health behavior Content in Jirai Community](https://md.research.elamur.ai/free/en/papers/xiao-2026-jiraibench-bilingual-benchmark-evaluating-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yunze Xiao, Tingyu He, Lionel Z. Wang, et al.*2026*
1338. **[Joint Optimization of Training Data and Policy in RLHF](https://md.research.elamur.ai/free/en/papers/yu-2026-joint-optimization-training-data-policy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuohao Yu, Jiali Zeng, Weizheng Gu, et al.*2026*
1339. **[JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation](https://md.research.elamur.ai/free/en/papers/xu-2026-jointcq-improving-factual-hallucination-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fan Xu, Huixuan Zhang, Zhenliang Zhang, et al.*2026*
1340. **[KCLarity at SemEval-2026 Task 6: Encoder and Zero-Shot Approaches to Political Evasion Detection](https://md.research.elamur.ai/free/en/papers/sage-2026-kclarity-semeval-2026-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Archie Sage, Salvatore Greco*2026*
1341. **[KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge](https://md.research.elamur.ai/free/en/papers/robertson-2026-kghalubench-knowledge-graph-based-hallucination/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Alex Robertson, Huizhi Liang, Mahbub Gani, et al.*2026*
1342. **[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*
1343. **[Know the Known and the Unknown: Reasonable Answer Generation with Knowledge-Informed Citations](https://md.research.elamur.ai/free/en/papers/zhang-2026-know-known-unknown-reasonable-answer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yichi Zhang, Zhuo Chen, Lingbing Guo, et al.*2026*
1344. **[Knowledge Vector of Logical Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-knowledge-vector-logical-reasoning-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zixuan Wang, Yuanyuan Lei*2026*
1345. **[Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive Domains](https://md.research.elamur.ai/free/en/papers/yuan-2026-knowledge-verification-exploring-rlvr-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhonghang Yuan, Zhefan Wang, Fang Hu, et al.*2026*
1346. **[KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-knowledgeberg-evaluating-systematic-knowledge-coverage/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiao Zhang, Qianru Meng, Yongjian Chen, et al.*2026*
1347. **[Label Words as Local Task Vectors in In-Context Learning](https://md.research.elamur.ai/free/en/papers/zheng-2026-label-words-as-local-task/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bowen Zheng, Ming Ma, Zhongqiao Lin, et al.*2026*
1348. **[LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination Detection](https://md.research.elamur.ai/free/en/papers/wang-2026-lafact-attribution-based-localization-focused/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xin Wang, Jiahao Li, Licheng Zhang, et al.*2026*
1349. **[Language Models Learn Universal Representations of Numbers and Here's Why You Should Care](https://md.research.elamur.ai/free/en/papers/stefanik-2026-language-models-learn-universal-representations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michal Štefánik, Timothee Mickus, Marek Kadlčík, et al.*2026*
1350. **[Language-Aware Token Boosting: LLM Language Confusion Reduction Without Tuning](https://md.research.elamur.ai/free/en/papers/ukarapol-2026-language-aware-token-boosting-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng*2026*
1351. [**Language-Specific versus Cross-Lingual Knowledge Graphs for Implicit Aspect Identification in Arabic: A Comparative Study of Reasoning and Adaptation Strategies arXiv:2607.20056**Lujain A. Alawwad*2026*](https://md.research.elamur.ai/free/en/papers/alawwad-2026-language-specific-versus-cross-lingual/)
1352. **[Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions](https://md.research.elamur.ai/free/en/papers/zhao-2026-large-language-models-are-bad/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minda Zhao, Yilun Du, Mengyu Wang*2026*
1353. **[Large Language Models Are Still Misled by Simple Bias Ensembles](https://md.research.elamur.ai/free/en/papers/sun-2026-large-language-models-are-still/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhouhao Sun, Zhiyuan Kan, Xiao Ding, et al.*2026*
1354. **[Large-Scale Diverse Synthesis for Mid-Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-large-scale-diverse-synthesis-mid/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuemiao Zhang, Chengying Tu, Can Ren, et al.*2026*
1355. **[LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety](https://md.research.elamur.ai/free/en/papers/yang-2026-lasa-language-agnostic-semantic-alignment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junxiao Yang, Haoran Liu, Jinzhe Tu, et al.*2026*
1356. **[Latent-Condensed Transformer for Efficient Long Context Modeling](https://md.research.elamur.ai/free/en/papers/you-2026-latent-condensed-transformer-efficient-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zeng You, Yaofo Chen, Qiuwu Chen, et al.*2026*
1357. **[LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL Queries](https://md.research.elamur.ai/free/en/papers/ren-2026-latentrefusal-latent-signal-refusal-unanswerable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuancheng Ren, Shijing Hu, Zhihui Lu, et al.*2026*
1358. **[Launch and Aftermath: Contrasting Social Media Responses to Chatbot Releases. The Cases of Meta's Galactica and OpenAI's ChatGPT](https://md.research.elamur.ai/free/en/papers/weber-2026-launch-aftermath-contrasting-social-media/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Maximilian Weber, Johannes B. Gruber*2026*
1359. **[Layer-aware Dual-directional Modulation for Low-resource Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2026-layer-aware-dual-directional-modulation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Siqi Zhang, Ran Song, Shuting Jiang, et al.*2026*
1360. **[Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization](https://md.research.elamur.ai/free/en/papers/xueyun-2026-learning-mistakes-negative-reasoning-samples/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tian Xueyun, MingHua Ma, Bingbing Xu, et al.*2026*
1361. **[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*
1362. **[Learning to Think on Hypergraph: HyperCoT for Structure-Guided N-ary Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/yang-2026-learning-think-hypergraph-hypercot-structure/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mengxue Yang, Jinming Li, Chun Yang, et al.*2026*
1363. **[Learning Uncertainty from Sequential Internal Dispersion in Large Language Models](https://md.research.elamur.ai/free/en/papers/srey-2026-learning-uncertainty-sequential-internal-dispersion/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ponhvoan Srey, Xiaobao Wu, Cong-Duy T Nguyen, et al.*2026*
1364. **[LegalChainReasoner: Grounding Criminal Judicial Opinion Generation via Structured Legal Chains](https://md.research.elamur.ai/free/en/papers/shi-2026-legalchainreasoner-grounding-criminal-judicial-opinion/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weizhe Shi, Qiqi Wang, Yihong Pan, et al.*2026*
1365. **[LeLoRA: Learnable Low-Rank Adaptation of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-lelora-learnable-low-rank-adaptation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, et al.*2026*
1366. **[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*
1367. **[Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-leveraging-outline-optimized-generative-interactions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hengwei Liu, Haoyuan Ma, Qingqing Lyu, et al.*2026*
1368. **[LIBERTy: A Causal Framework for Benchmarking Concept-Based Explanations of LLMs with Structural Counterfactuals](https://md.research.elamur.ai/free/en/papers/toker-2026-liberty-causal-framework-benchmarking-concept/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Gilat Toker, Nitay Calderon, Ohad Amosy, et al.*2026*
1369. **[LinguaGame: A Linguistically Grounded Game-Theoretic Paradigm for Multi-Agent Dialogue Generation](https://md.research.elamur.ai/free/en/papers/ye-2026-linguagame-linguistically-grounded-game-theoretic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxiao Ye, Yiming Zhang, Yiran Rex Ma, et al.*2026*
1370. **[LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points](https://md.research.elamur.ai/free/en/papers/zhang-2026-linkqa-synthesizing-diverse-qa-multiple/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuemiao Zhang, Can Ren, Chengying Tu, et al.*2026*
1371. **[LiveCultureBench: a Multi-Agent, Multi-Cultural Benchmark for Large Language Models in Dynamic Social Simulations](https://md.research.elamur.ai/free/en/papers/pham-2026-liveculturebench-multi-agent-multi-cultural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Viet Thanh Pham, Lizhen Qu, Thuy-Trang Vu, et al.*2026*
1372. **[LLEOT: A Privacy-Enhancing Offsite Tuning Framework via Loss Landscape Elevation](https://md.research.elamur.ai/free/en/papers/zhong-2026-lleot-privacy-enhancing-offsite-tuning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jin Zhong, Jinglin Liang, Tongtong Yang, et al.*2026*
1373. **[LLM Beliefs Are in Their Heads](https://md.research.elamur.ai/free/en/papers/mendozza-2026-llm-beliefs-are-their-heads/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alessandro Corona Mendozza, Anders Søgaard*2026*
1374. **[LLM-FK: Multi-Agent LLM Reasoning for Foreign Key Detection in Large-Scale Complex Databases](https://md.research.elamur.ai/free/en/papers/tang-2026-llm-fk-multi-agent-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zijian Tang, Ying Zhang, Sibo Cai, et al.*2026*
1375. **[LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models](https://md.research.elamur.ai/free/en/papers/xuan-2026-llm-xtm-enhancing-cross-lingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minh Chu Xuan, Tien-Phat Nguyen, Linh Ngo Van, et al.*2026*
1376. **[LLMs as annotators of credibility assessment in Danish asylum decisions: evaluating classification performance and errors beyond aggregated metrics](https://md.research.elamur.ai/free/en/papers/renaux-2026-llms-as-annotators-credibility-assessment/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Galadrielle Humblot-Renaux, Mohammad N. S. Jahromi, Rohat Bakuri-Jørgensen, et al.*2026*
1377. **[LLMs as Annotators: Evaluating Model–Human Alignment in Detecting Contentious Language in Historical Corpora](https://md.research.elamur.ai/free/en/papers/zhao-2026-llms-as-annotators-evaluating-model/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yahui Zhao, Clemencia Siro, Laura Hollink*2026*
1378. **[LLMs as Cultural Archives: Cultural Commonsense Knowledge Graph Extraction](https://md.research.elamur.ai/free/en/papers/tonga-2026-llms-as-cultural-archives-cultural/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Junior Cedric Tonga, Chen Cecilia Liu, Iryna Gurevych, et al.*2026*
1379. **[LLMs Out-of-the-Box Do Not Generate Context-Appropriate Word Order in Russian](https://md.research.elamur.ai/free/en/papers/shabaeva-2026-llms-out-box-do-not/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Alina Shabaeva, John Frederick Bailyn, Owen Rambow*2026*
1380. [**LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation Steering arXiv:2607.06845**Huan Wu, Ali Emami, Muhammad Furquan Hassan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-llms-silently-correct-african-american/)
1381. **[Localized Low-Rank Adaptation within Clustered Parameter Subspaces](https://md.research.elamur.ai/free/en/papers/xiong-2026-localized-low-rank-adaptation-within/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiahao Xiong, Yihe Liu, Xianming Hu, et al.*2026*
1382. **[Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments](https://md.research.elamur.ai/free/en/papers/mi-2026-logical-consistency-as-bridge-improving/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Mi, Qiang Sheng, Shaofei Wang, et al.*2026*
1383. **[LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software](https://md.research.elamur.ai/free/en/papers/rashid-2026-logiceval-systematic-framework-evaluating-automated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Syed Md Mukit Rashid, Abdullah Al Ishtiaq, Kai Tu, et al.*2026*
1384. **[LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory](https://md.research.elamur.ai/free/en/papers/zhang-2026-loka-conflict-aware-llm-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, et al.*2026*
1385. **[LongTailQA: Benchmarking LLMs and RAG Models on Disambiguated Long-Tail Entities](https://md.research.elamur.ai/free/en/papers/xion-2026-longtailqa-benchmarking-llms-rag-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**William Xion, Uwe Hadler, Tim Cofala, et al.*2026*
1386. **[LoopCoder: Scaling Code Intelligence via Looped Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-loopcoder-scaling-code-intelligence-looped/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jian Yang, Wei Zhang, Shuyue Guo, et al.*2026*
1387. **[LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment](https://md.research.elamur.ai/free/en/papers/lu-2026-lore-enhancing-search-relevance-progressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenji Lu, Zhuo Chen, Hui Zhao, et al.*2026*
1388. **[Lost in Quantization: Activation Outliers Explain Language-Specific FP8 Sensitivity in Llama-3](https://md.research.elamur.ai/free/en/papers/silva-2026-lost-quantization-activation-outliers-explain/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Guilherme Silva, Pedro Silva, Matheus Peixoto, et al.*2026*
1389. **[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*
1390. **[Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding](https://md.research.elamur.ai/free/en/papers/alali-2026-maastricht-university-amiya-adapting-llms/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Abdulhai Alali, Abderrahmane Issam*2026*
1391. **[Machine Translation for Low-Resource Languages through Monolingual Data and LLM: A Case Study of English-to-Basque](https://md.research.elamur.ai/free/en/papers/luu-2026-machine-translation-low-resource-languages/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Nam Luu, Aitor Soroa, German Rigau, et al.*2026*
1392. [**MameLoshnLM: Yiddish Language Model and Evaluation Benchmark arXiv:2608.05850 · Proceedings of the Third Conference on Language Modeling (COLM 2026), 2026**Uri Katz, Omer Goldman, Tomasz Limisiewicz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/katz-2026-mameloshnlm-yiddish-language-model-evaluation/)
1393. **[Mapping the Circumplex of Affect: Geometric Analysis of Emotion Representations via Hyperspherical Contrastive Learning](https://md.research.elamur.ai/free/en/papers/yamauchi-2026-mapping-circumplex-affect-geometric-analysis/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yusuke Yamauchi, Akiko Aizawa*2026*
1394. **[Mapping the Course for Prompt-based Structured Prediction](https://md.research.elamur.ai/free/en/papers/pauk-2026-mapping-course-prompt-based-structured/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Matt Pauk, Maria Leonor Pacheco*2026*
1395. **[MAQuA: Multi-outcome Adaptive Question-Asking for Mental Health using Item Response Theory](https://md.research.elamur.ai/free/en/papers/varadarajan-2026-maqua-multi-outcome-adaptive-question/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Vasudha Varadarajan, Hui Xu, Rebecca Astrid Böhme, et al.*2026*
1396. **[Market-Bench: Benchmarking Large Language Models on Economic and Trade Competition](https://md.research.elamur.ai/free/en/papers/zheng-2026-market-bench-benchmarking-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yushuo Zheng, Huiyu Duan, Zicheng Zhang, et al.*2026*
1397. **[MARS: Unleashing the Power of Speculative Decoding via Margin-Aware Verification](https://md.research.elamur.ai/free/en/papers/song-2026-mars-unleashing-power-speculative-decoding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingwei Song, Xinyu Wang, Hanbin Wang, et al.*2026*
1398. **[MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/xiao-2026-mass-rag-multi-agent-synthesis/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingchen Xiao, Heyan Huang, Runheng Liu, et al.*2026*
1399. **[MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers](https://md.research.elamur.ai/free/en/papers/ma-2026-match-modulating-attention-context-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linrui Ma, Chun Hei Lo, Xinyu Wang, et al.*2026*
1400. **[MATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in Indonesia](https://md.research.elamur.ai/free/en/papers/xiao-2026-math-idn-multilingual-mathematical-problem/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiao Xiao, Iftitahu Ni'mah, Yuyun Wabula, et al.*2026*

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