---
title: "Who cites Ziyi Yang — page 2 — 1,280 papers of our library"
description: "1,280 papers of the Elamur Research library cite the works of Ziyi Yang, found in their bibliographies · page 2 of 3 · 101–200; the most cited first."
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---
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# Who cites Ziyi Yang

1,321 citations of their works from 1,280 papers of our library (of the 149,439 whose bibliographies we read) · 250 with a page here, the most cited first · page 2 of 3 · 101–200 · [← Ziyi Yang](https://md.research.elamur.ai/free/en/authors/ziyi-yang/)

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101. **[GenAI Content Detection Task 2: AI vs. Human – Academic Essay Authenticity Challenge](https://md.research.elamur.ai/free/en/papers/chowdhury-2025-genai-content-detection-task-2/) [1stWorkshop on GenAI Content Detection (GenAIDetect)](https://md.research.elamur.ai/free/en/venues/genaidetect/)**Shammur Absar Chowdhury, Hind Almerekhi, Mucahid Kutlu, et al.*2025 · 12 citations*
102. **[Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond](https://md.research.elamur.ai/free/en/papers/sanni-2025-afrispeech-dialog-benchmark-dataset-spontaneous/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mardhiyah Sanni, Tassallah Abdullahi, Devendra Deepak Kayande, et al.*2025 · 11 citations*
103. **[DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation](https://md.research.elamur.ai/free/en/papers/martelli-2025-dibimt-gold-evaluation-benchmark-studying/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Federico Martelli, Stefano Perrella, Niccolò Campolungo, et al.*2025 · 11 citations*
104. [**Distilling LLM Agent into Small Models with Retrieval and Code Tools arXiv:2505.17612**Minki Kang, Jongwon Jeong, Seanie Lee, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kang-2025-distilling-llm-agent-small-models/)
105. **[Grounding Multilingual Multimodal LLMs With Cultural Knowledge](https://md.research.elamur.ai/free/en/papers/nyandwi-2025-grounding-multilingual-multimodal-llms-cultural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jean De Dieu Nyandwi, Yueqi Song, Simran Khanuja, et al.*2025 · 11 citations*
106. **[Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles](https://md.research.elamur.ai/free/en/papers/xia-2025-influences-llm-calibration-study-response/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxi Xia, Pedro Henrique Luz De Araujo, Klim Zaporojets, et al.*2025 · 11 citations*
107. **[Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment](https://md.research.elamur.ai/free/en/papers/li-2025-layer-aware-representation-filtering-purifying/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hao Li, Lijun Li, Zhenghao Lu, et al.*2025 · 11 citations*
108. **[SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification](https://md.research.elamur.ai/free/en/papers/wang-2025-sciver-evaluating-foundation-models-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chengye Wang, Yifei Shen, Zexi Kuang, et al.*2025 · 11 citations*
109. [**Yi-Lightning Technical Report arXiv:2412.01253**Alan Wake, Bei Chen, C.X. Lv, et al.*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/wake-2024-yi-lightning-technical-report/)
110. **[An Empirical Study of LLM-as-a-Judge: How Design Choices Impact Evaluation Reliability](https://md.research.elamur.ai/free/en/papers/yamauchi-2026-empirical-study-llm-as-judge/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Yusuke Yamauchi, Taro Yano, Masafumi Oyamada*2026 · 10 citations*
111. **[An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/sun-2025-efficient-precise-training-data-construction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Sun, Qianlong Du, Fuwei Cui, et al.*2025 · 10 citations*
112. [**Implicit Reasoning in Large Language Models: A Comprehensive Survey arXiv:2509.02350**Jindong Li, Yali Fu, Li Fan, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-implicit-reasoning-large-language-models/)
113. **[IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization](https://md.research.elamur.ai/free/en/papers/frikha-2025-incognitext-privacy-enhancing-conditional-text/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Ahmed Frikha, Nassim Walha, Krishna Kanth Nakka, et al.*2025 · 10 citations*
114. [**QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management arXiv:2512.12967**Weizhou Shen, Ziyi Yang, Chenliang Li, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/shen-2025-qwenlong-l1-5-post/)
115. **[SpaRE: Enhancing Spatial Reasoning in Vision-Language Models with Synthetic Data](https://md.research.elamur.ai/free/en/papers/ogezi-2025-spare-enhancing-spatial-reasoning-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michael Ogezi, Freda Shi*2025 · 10 citations*
116. **[Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMs](https://md.research.elamur.ai/free/en/papers/mahfuz-2025-too-late-train-too-early/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Tamzeed Mahfuz, Satak Kumar Dey, Ruwad Naswan, et al.*2025 · 10 citations*
117. **[WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning](https://md.research.elamur.ai/free/en/papers/mundada-2025-wildscore-benchmarking-mllms-wild-symbolic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Gagan Mundada, Yash Vishe, Amit Namburi, et al.*2025 · 10 citations*
118. **[Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-locate-steer-improve-practical-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.*2026 · 9 citations*
119. **[WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback](https://md.research.elamur.ai/free/en/papers/shi-2026-wildfeedback-aligning-llms-situ-user/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Taiwei Shi, Zhuoer Wang, Longqi Yang, et al.*2026 · 9 citations*
120. **[AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research](https://md.research.elamur.ai/free/en/papers/zhao-2025-abgen-evaluating-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilun Zhao, Weiyuan Chen, Zhijian Xu, et al.*2025 · 9 citations*
121. **[Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model](https://md.research.elamur.ai/free/en/papers/geigle-2025-centurio-drivers-multilingual-ability-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gregor Geigle, Florian Schneider, Carolin Holtermann, et al.*2025 · 9 citations*
122. **[HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation](https://md.research.elamur.ai/free/en/papers/xiong-2025-hs-star-hierarchical-sampling-self/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Feng Xiong, Hongling Xu, Yifei Wang, et al.*2025 · 9 citations*
123. **[VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search](https://md.research.elamur.ai/free/en/papers/jia-2025-visualwebinstruct-scaling-up-multimodal-instruction/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yiming Jia, Jiachen Li, Xiang Yue, et al.*2025 · 9 citations*
124. **[From Human Judgements to Predictive Models: Unravelling Acceptability in Code-Mixed Sentences](https://md.research.elamur.ai/free/en/papers/kodali-2024-human-judgements-predictive-models-unravelling/) [ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/)**Prashant Kodali, Anmol Goel, Likhith Asapu, et al.*2024 · 9 citations*
125. **[Cool-Fusion: Fuse Large Language Models without Training](https://md.research.elamur.ai/free/en/papers/liu-2025-cool-fusion-fuse-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cong Liu, Xiaojun Quan, Yan Pan, et al.*2025 · 8 citations*
126. **[Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/singh-2025-exposing-achilles-heel-evaluating-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joykirat Singh, Akshay Nambi, Vibhav Vineet*2025 · 8 citations*
127. **[On Many-Shot In-Context Learning for Long-Context Evaluation](https://md.research.elamur.ai/free/en/papers/zou-2025-many-shot-context-learning-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kaijian Zou, Muhammad Khalifa, Lu Wang*2025 · 8 citations*
128. **[Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning Analysis](https://md.research.elamur.ai/free/en/papers/boughorbel-2024-improving-language-models-trained-translated/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Sabri Boughorbel, Md Rizwan Parvez, Majd Hawasly*2024 · 8 citations*
129. **[DebateQA: Evaluating Question Answering on Debatable Knowledge](https://md.research.elamur.ai/free/en/papers/xu-2026-debateqa-evaluating-question-answering-debatable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rongwu Xu, Xuan Qi, Zehan Qi, et al.*2026 · 7 citations*
130. **[Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs](https://md.research.elamur.ai/free/en/papers/papi-2026-hearing-translate-effectiveness-speech-modality/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Sara Papi, Javier Garcia Gilabert, Zachary Hopton, et al.*2026 · 7 citations*
131. [**TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation arXiv:2503.04872**Lin Sun, Guangxiang Zhao, Xiaoqi Jian, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/sun-2025-tinyr1-32b-preview-boosting-accuracy/)
132. **[Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models](https://md.research.elamur.ai/free/en/papers/tian-2025-untie-knots-efficient-data-augmentation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junfeng Tian, Da Zheng, Yang Chen, et al.*2025 · 7 citations*
133. [**GRIN: GRadient-INformed MoE arXiv:2409.12136**Liyuan Liu, Young Jin Kim, Shuohang Wang, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-grin-gradient-informed-moe/)
134. [**OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA arXiv:2510.06371**Firoj Alam, Ali Ezzat Shahroor, Md. Arid Hasan, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/alam-2025-oasis-multilingual-multimodal-dataset-culturally/)
135. **[The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It](https://md.research.elamur.ai/free/en/papers/bertolazzi-2025-validation-gap-mechanistic-analysis-how/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Leonardo Bertolazzi, Philipp Mondorf, Barbara Plank, et al.*2025 · 6 citations*
136. **[HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance](https://md.research.elamur.ai/free/en/papers/vasu-2025-hyper-literature-grounded-hypothesis-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rosni Vasu, Chandrayee Basu, Bhavana Dalvi Mishra, et al.*2025 · 5 citations*
137. **[Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMs](https://md.research.elamur.ai/free/en/papers/weeber-2026-do-political-opinions-transfer-between/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Franziska Weeber, Tanise Ceron, Sebastian Padó*2026 · 4 citations*
138. [**Kuwain 1.5B: An Arabic SLM via Language Injection arXiv:2504.15120**Khalil Hennara, Sara Chrouf, Mohamed Motaism Hamed, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/hennara-2025-kuwain-1-5b-arabic-slm/)
139. **[Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping](https://md.research.elamur.ai/free/en/papers/peng-2026-incentivizing-depth-reasoning-over-long/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Miao Peng, Weizhou Shen, Nuo Chen, et al.*2026 · 3 citations*
140. **[QIAS 2026: Overview of the Shared Task on Islamic Inheritance Reasoning](https://md.research.elamur.ai/free/en/papers/bouchekif-2026-qias-2026-overview-shared-task/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Abdessalam Bouchekif, Somaya Eltanbouly, Shahd Gaben, et al.*2026 · 3 citations*
141. **[RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking](https://md.research.elamur.ai/free/en/papers/zou-2026-rag-over-tables-hierarchical-memory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaru Zou, Dongqi Fu, Sirui Chen, et al.*2026 · 3 citations*
142. **[StressTest: Can YOUR Speech LM Handle the Stress?](https://md.research.elamur.ai/free/en/papers/yosha-2026-stresstest-can-your-speech-lm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Iddo Yosha, Gallil Maimon, Yossi Adi*2026 · 3 citations*
143. **[FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking](https://md.research.elamur.ai/free/en/papers/magomere-2025-finnli-novel-dataset-multi-genre/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jabez Magomere, Elena Kochkina, Samuel Mensah, et al.*2025 · 3 citations*
144. [**LuxInstruct: A Cross-Lingual Instruction Tuning Dataset For Luxembourgish arXiv:2510.07074**Fred Philippy, Laura Bernardy, Siwen Guo, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/philippy-2025-luxinstruct-cross-lingual-instruction-tuning/)
145. **[Testing Low-Resource Language Support in LLMs Using Language Proficiency Exams: the Case of Luxembourgish](https://md.research.elamur.ai/free/en/papers/lothritz-2025-testing-low-resource-language-support/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cedric Lothritz, Jordi Cabot, Laura Bernardy*2025 · 3 citations*
146. **[AITutor-EvalKit: Exploring the Capabilities of AI Tutors](https://md.research.elamur.ai/free/en/papers/naeem-2026-aitutor-evalkit-exploring-capabilities-ai/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, et al.*2026 · 2 citations*
147. **[Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)](https://md.research.elamur.ai/free/en/papers/mori-2026-differentially-private-synthetic-text-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junki Mori, Kazuya Kakizaki, Taiki Miyagawa, et al.*2026 · 2 citations*
148. **[Exploring Iterative Controllable Summarization with Large Language Models](https://md.research.elamur.ai/free/en/papers/ryu-2026-exploring-iterative-controllable-summarization-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sangwon Ryu, Heejin Do, Daehui Kim, et al.*2026 · 2 citations*
149. **[Lost in Formatting: How Output Formats Skew LLM Performance on Information Extraction](https://md.research.elamur.ai/free/en/papers/ravikumar-2026-lost-formatting-how-output-formats/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rishi Ravikumar, Nuhu Ibrahim, Riza Batista-Navarro*2026 · 2 citations*
150. **[PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/zhao-2026-papermind-benchmarking-agentic-reasoning-critique/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yanjun Zhao, Tianxin Wei, Jiaru Zou, et al.*2026 · 2 citations*
151. **[POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering](https://md.research.elamur.ai/free/en/papers/xu-2026-polychartqa-benchmarking-large-vision-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yichen Xu, Liangyu Chen, Liang Zhang, et al.*2026 · 2 citations*
152. **[Preference Learning Unlocks LLMs' Psycho-Counseling Skills](https://md.research.elamur.ai/free/en/papers/zhang-2026-preference-learning-unlocks-llms-psycho/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mian Zhang, Shaun M. Eack, Zhiyu Chen*2026 · 2 citations*
153. **[Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference](https://md.research.elamur.ai/free/en/papers/yuan-2026-quantifying-impact-structured-output-format/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Han Yuan, Yue Zhao, Li Zhang, et al.*2026 · 2 citations*
154. **[SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking](https://md.research.elamur.ai/free/en/papers/tran-2026-semviqa-semantic-question-answering-system/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dien X. Tran, Nam V. Nguyen, Tran Tan Thanh, et al.*2026 · 2 citations*
155. **[STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding](https://md.research.elamur.ai/free/en/papers/xiao-2026-stella-multimodal-llm-protein-functional/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongwang Xiao, Wenjun Lin, Xi Chen, et al.*2026 · 2 citations*
156. **[End-to-End Automated Item Generation and Scoring for Adaptive English Writing Assessment with Large Language Models](https://md.research.elamur.ai/free/en/papers/nebhi-2025-end-end-automated-item-generation/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Kamel Nebhi, Amrita Panesar, Hans Bantilan*2025 · 2 citations*
157. [**Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models arXiv:2501.05478**Malak Mansour, Ahmed Aly, Bahey Tharwat, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/mansour-2025-language-planning-robotic-navigation-multilingual/)
158. [**BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline arXiv:2408.15079**Guosheng Dong, Da Pan, Yiding Sun, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/dong-2024-baichuanseed-sharing-potential-extensive/)
159. [**AHA-Memes: A Fine-Grained Multimodal Benchmark for Understanding Hate in Arabic Memes arXiv:2607.27393**Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Abul Hasnat, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kmainasi-2026-aha-memes-fine-grained-multimodal/)
160. **[AraVQA: Building a New Arabic Factoid Visual Question Answering Dataset from Wikipedia](https://md.research.elamur.ai/free/en/papers/alrowili-2026-aravqa-building-new-arabic-factoid/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sultan Alrowili, Younes Samih, Abed Alhakim Freihat, et al.*2026 · 1 citation*
161. **[Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations](https://md.research.elamur.ai/free/en/papers/wei-2026-bias-ear-listener-assessing-sensitivity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sheng-Lun Wei, Yu-Ling Liao, Yen-Hua Chang, et al.*2026 · 1 citation*
162. **[BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream Camouflage](https://md.research.elamur.ai/free/en/papers/nakka-2026-bitbypass-new-direction-jailbreaking-aligned/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kalyan Nakka, Nitesh Saxena*2026 · 1 citation*
163. **[BSC's Submission to the Instruction Following Track of IWSLT 2026](https://md.research.elamur.ai/free/en/papers/pareras-2026-bsc-s-submission-instruction-following/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Oriol Pareras, Joan Llado, Pol Buitrago, et al.*2026 · 1 citation*
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195. **[Consistency of LLMs to Comparative Statements in Mathematical Reasoning Tasks](https://md.research.elamur.ai/free/en/papers/san-2026-consistency-llms-comparative-statements-mathematical/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.*2026*
196. **[Data Foundations of Long-Context Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/sun-2026-data-foundations-long-context-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zechen Sun, Yuyang Sun, Zhaochen Su, et al.*2026*
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198. **[Evaluating Discriminability of Vision-Language Models](https://md.research.elamur.ai/free/en/papers/muraoka-2026-evaluating-discriminability-vision-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Masayasu Muraoka, Naoaki Okazaki*2026*
199. **[Federated LoRA Fine-Tuning with Pipelined Error-Mitigated Aggregation and Matrix-Wise Freezing](https://md.research.elamur.ai/free/en/papers/wang-2026-federated-lora-fine-tuning-pipelined/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoran Wang, Xiong Wang, Yuqing Li, et al.*2026*
200. **[Finding Sense in Nonsense with Generated Contexts: Perspectives from Humans and Language Models](https://md.research.elamur.ai/free/en/papers/olsen-2026-finding-sense-nonsense-generated-contexts/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Katrina Olsen, Sebastian Padó*2026*

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