---
title: "Who cites Piyush Sharma — page 4 — 2,380 citing papers"
description: "2,380 papers of the Elamur Research library cite the works of Piyush Sharma, found in their bibliographies · page 4 of 4 · 301–378; the most…"
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---
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# Who cites Piyush Sharma

2,405 citations of their works from 2,380 papers of our library (of the 149,439 whose bibliographies we read) · 378 with a page here, the most cited first · page 4 of 4 · 301–378 · [← Piyush Sharma](https://md.research.elamur.ai/free/en/authors/piyush-sharma/)

[← prev](https://md.research.elamur.ai/free/en/authors/piyush-sharma/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/authors/piyush-sharma/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/piyush-sharma/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/piyush-sharma/cited-by/page/3/) **4**

301. **[PEEP-Talk: A Situational Dialogue-based Chatbot for English Education](https://md.research.elamur.ai/free/en/papers/lee-2023-peep-talk-situational-dialogue-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Seungjun Lee, Yoonna Jang, Chanjun Park, et al.*2023 · 9 citations*
302. [**Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding arXiv:2205.10687**Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models-their/)
303. **[Acquired TASTE: Multimodal Stance Detection with Textual and Structural Embeddings](https://md.research.elamur.ai/free/en/papers/barel-2025-acquired-taste-multimodal-stance-detection/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Guy Barel, Oren Tsur, Dan Vilenchik*2025 · 8 citations*
304. **[ArabicTransformer: Efficient Large Arabic Language Model with Funnel Transformer and ELECTRA Objective](https://md.research.elamur.ai/free/en/papers/alrowili-2021-arabictransformer-efficient-large-arabic-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sultan Alrowili, K. Vijay-Shanker*2021 · 8 citations*
305. **[SU-NLP at CASE 2021 Task 1: Protest News Detection for English](https://md.research.elamur.ai/free/en/papers/celik-2021-su-nlp-case-2021-task/) [Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text](https://md.research.elamur.ai/free/en/venues/case/)**Furkan Çelik, Tuğberk Dalkılıç, Fatih Beyhan, et al.*2021 · 8 citations*
306. **[Generative Approach for Gender-Rewriting Task with ArabicT5](https://md.research.elamur.ai/free/en/papers/alrowili-2022-generative-approach-gender-rewriting-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Sultan Alrowili, K. Vijay-Shanker*2022 · 7 citations*
307. **[Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences](https://md.research.elamur.ai/free/en/papers/luo-2022-simple-but-challenging-natural-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Luo, Wei Liu, Jieyu Lin, et al.*2022 · 7 citations*
308. **[TrimTokenator: Towards Adaptive Visual Token Pruning for Large Multimodal Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-trimtokenator-adaptive-visual-token-pruning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Zhang, Lyu Mengsi, Chenrui He, et al.*2026 · 6 citations*
309. **[Assessing the Performance of ChatGPT-4, Fine-tuned BERT and Traditional ML Models on Moroccan Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/hannani-2024-assessing-performance-chatgpt-4-fine/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**Mohamed Hannani, Abdelhadi Soudi, Kristof Van Laerhoven*2024 · 6 citations*
310. **[Upaya at ArabicNLU Shared-Task: Arabic Lexical Disambiguation using Large Language Models](https://md.research.elamur.ai/free/en/papers/rajpoot-2024-upaya-arabicnlu-shared-task-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Pawan Rajpoot, Ashvini Jindal, Ankur Parikh*2024 · 6 citations*
311. **[A Lightweight Method to Generate Unanswerable Questions in English](https://md.research.elamur.ai/free/en/papers/gautam-2023-lightweight-method-generate-unanswerable-questions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Vagrant Gautam, Miaoran Zhang, Dietrich Klakow*2023 · 6 citations*
312. **[GRAVL-BERT: Graphical Visual-Linguistic Representations for Multimodal Coreference Resolution](https://md.research.elamur.ai/free/en/papers/guo-2022-gravl-bert-graphical-visual-linguistic/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Danfeng Guo, Arpit Gupta, Sanchit Agarwal, et al.*2022 · 6 citations*
313. **[Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning](https://md.research.elamur.ai/free/en/papers/yu-2026-enhancing-auto-regressive-chain-thought/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Qifan Yu, Zhenyu He, Sijie Li, et al.*2026 · 5 citations*
314. **[RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human Feedback](https://md.research.elamur.ai/free/en/papers/chen-2025-rrhf-v-ranking-responses-mitigate/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Guoqing Chen, Fu Zhang, Jinghao Lin, et al.*2025 · 5 citations*
315. **[Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding](https://md.research.elamur.ai/free/en/papers/mao-2026-through-magnifying-glass-adaptive-perception/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shunqi Mao, Chaoyi Zhang, Weidong Cai*2026 · 4 citations*
316. **[Evaluating Numeracy of Language Models as a Natural Language Inference Task](https://md.research.elamur.ai/free/en/papers/mahendra-2025-evaluating-numeracy-language-models-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rahmad Mahendra, Damiano Spina, Lawrence Cavedon, et al.*2025 · 4 citations*
317. [**Computational Sarcasm Analysis on Social Media: A Systematic Review arXiv:2209.06170**Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/kader-2022-computational-sarcasm-analysis-social-media/)
318. **[GOF at Qur'an QA 2022: Towards an Efficient Question Answering For The Holy Qu'ran In The Arabic Language Using Deep Learning-Based Approach](https://md.research.elamur.ai/free/en/papers/mostafa-2022-gof-qur-qa-2022-efficient/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ali Mostafa, Omar Mohamed*2022 · 4 citations*
319. **[IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets](https://md.research.elamur.ai/free/en/papers/ohashi-2020-idsou-wnut-2020-task-2/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Sora Ohashi, Tomoyuki Kajiwara, Chenhui Chu, et al.*2020 · 4 citations*
320. [**Modeling the Evolution of English Noun Compounds with Feature-Rich Diachronic Compositionality Prediction**Filip Miletić, Sabine Schulte im Walde*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/miletic-2025-modeling-evolution-english-noun-compounds/)
321. **[WarwickNLP at SemEval-2024 Task 1: Low-Rank Cross-Encoders for Efficient Semantic Textual Relatedness](https://md.research.elamur.ai/free/en/papers/ebrahim-2024-warwicknlp-semeval-2024-task-1/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Fahad Ebrahim, Mike Joy*2024 · 3 citations*
322. **[Cross-layer Attention Sharing for Pre-trained Large Language Models](https://md.research.elamur.ai/free/en/papers/mu-2026-cross-layer-attention-sharing-pre/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yongyu Mu, Yuzhang Wu, Yuchun Fan, et al.*2026 · 2 citations*
323. **[Decision-Making with Deliberation: Meta-reviewing as a Document-grounded Dialogue](https://md.research.elamur.ai/free/en/papers/purkayastha-2026-decision-making-deliberation-meta-reviewing/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sukannya Purkayastha, Nils Dycke, Anne Lauscher, et al.*2026 · 2 citations*
324. **[Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models](https://md.research.elamur.ai/free/en/papers/li-2023-pragmatic-reasoning-unlocks-quantifier-semantics/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yiyuan Li, Rakesh Menon, Sayan Ghosh, et al.*2023 · 2 citations*
325. [**Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)**Sushma Anand Akoju, Robert Vacareanu, Eduardo Blanco, et al.*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/akoju-2023-synthetic-dataset-evaluating-complex-compositional/)
326. [**Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns arXiv:2201.07614**Reto Gubelmann, Siegfried Handschuh*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/gubelmann-2022-uncovering-more-shallow-heuristics-probing/)
327. **[Comparative Analysis of Tokenizers in Tamil Text Classification in Low Resource Settings](https://md.research.elamur.ai/free/en/papers/sivakumaran-2026-comparative-analysis-tokenizers-tamil-text/) [workshop on Challenges in Processing South Asian Languages](https://md.research.elamur.ai/free/en/venues/chipsal/)**Gokulan Sivakumaran, Randil Pushpananda, ERAD Bandara*2026 · 1 citation*
328. **[LaMPE: Length-aware Multi-grained Positional Encoding for Adaptive Long-context Scaling Without Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-lampe-length-aware-multi-grained/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sikui Zhang, Guangze Gao, Ziyun Gan, et al.*2026 · 1 citation*
329. **[NeoAraBERT: A Modern Foundation Model for Arabic Embeddings with Diacritics-Aware Tokenization and POS-Targeted Masking](https://md.research.elamur.ai/free/en/papers/chakra-2026-neoarabert-modern-foundation-model-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chadi Abou Chakra, Hadi Khaled Hamoud, Osama Rakan Al Mraikhat, et al.*2026 · 1 citation*
330. **[SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM Compression](https://md.research.elamur.ai/free/en/papers/yun-2026-sharvet-similarity-aware-parameter-sharing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jeongin Yun, Jaeri Lee, Jongjin Kim, et al.*2026 · 1 citation*
331. **[BitMar: Low-Bit Multimodal Fusion with Episodic Memory for Edge Devices](https://md.research.elamur.ai/free/en/papers/aman-2025-bitmar-low-bit-multimodal-fusion/) [BabyLM Workshop](https://md.research.elamur.ai/free/en/venues/babylm/)**Euhid Aman, Esteban Carlin, Hsing-Kuo Kenneth Pao, et al.*2025 · 1 citation*
332. [**AlcLaM: Arabic Dialectal Language Model arXiv:2407.13097**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/)
333. [**Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models arXiv:2405.12884**Abdurahmman Alzahrani, Eyad Babkier, Faisal Yanbaawi, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alzahrani-2024-investigating-persuasion-techniques-arabic-empirical/)
334. [**Construction of English Resume Corpus and Test with Pre-trained Language Models arXiv:2208.03219**Chengguang Gan, Tatsunori Mori*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gan-2022-construction-english-resume-corpus-test/)
335. **[A Large-Scale Instruction-Tuning Dataset and Models for Slovenian Vision-Language Tasks](https://md.research.elamur.ai/free/en/papers/martinc-2026-large-scale-instruction-tuning-dataset/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Matej Martinc, Domen Vreš*2026*
336. **[A Multi-Agent Framework for High-Interaction Terminal Simulation](https://md.research.elamur.ai/free/en/papers/wei-2026-multi-agent-framework-high-interaction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Wei, Yuwen Cui, Kehan Shen, et al.*2026*
337. **[A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis](https://md.research.elamur.ai/free/en/papers/manzoor-2026-multi-view-media-profiling-suite/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Muhammad Arslan Manzoor, Dilshod Azizov, Daniil Orel, et al.*2026*
338. **[AGIC: Attention-Guided Image Captioning to Improve Caption Relevance](https://md.research.elamur.ai/free/en/papers/teja-2026-agic-attention-guided-image-captioning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**L. D. M. S. Sai Teja, Ashok Urlana, Pruthwik Mishra*2026*
339. **[An Evaluation of Classifiers for Mapping Generative LLM Responses to Answer Options of Multiple-choice Questionnaires](https://md.research.elamur.ai/free/en/papers/stroligo-2026-evaluation-classifiers-mapping-generative-llm/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Alisea Stroligo, Anna Shamray, Julian Schelb, et al.*2026*
340. **[ANCHOR: LLM-driven Subject Conditioning for Text-to-Image Synthesis](https://md.research.elamur.ai/free/en/papers/ramakrishnan-2026-anchor-llm-driven-subject-conditioning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Aashish Anantha Ramakrishnan, Sharon X Huang, Dongwon Lee*2026*
341. **[APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation](https://md.research.elamur.ai/free/en/papers/zhu-2026-appsi-139-parallel-corpus-english/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengyun Zhu, Qiheng Sun, Long Wen, et al.*2026*
342. **[Attention Under Attack: Analog Noise Effects and Mechanistic Vulnerabilities in Transformer Models](https://md.research.elamur.ai/free/en/papers/rahman-2026-attention-under-attack-analog-noise/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mafizur Rahman, Lijun Qian*2026*
343. **[Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/yan-2026-beyond-cross-modal-alignment-measuring/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanqi Yan, Xiangxiang Cui, Lu Yin, et al.*2026*
344. **[Beyond Multilinguality: Typological Limitations in Multilingual Models for Meitei Language](https://md.research.elamur.ai/free/en/papers/nyalang-2026-beyond-multilinguality-typological-limitations-multilingual/) [Workshop on Research in Computational Linguistic Typology and Multilingual NLP](https://md.research.elamur.ai/free/en/venues/sigtyp/)**Badal Nyalang*2026*
345. **[Beyond Static Synthetic Noise: Assessing the Robustness of Large Language Models to Natural Context Variation in the Real World](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-static-synthetic-noise-assessing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yulong Wu, Viktor Schlegel, Riza Batista-Navarro*2026*
346. **[Beyond Unified Models: A Service-Oriented Approach to Low Latency, Context Aware Phonemization for Real Time TTS](https://md.research.elamur.ai/free/en/papers/qharabagh-2026-beyond-unified-models-service-oriented/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mahta Fetrat Qharabagh, Donya Navabi, Zahra Dehghanian, et al.*2026*
347. **[Big Five Personality Prediction through Emotion-Conditioned Representations and Learnable Psycholinguistic Mapping](https://md.research.elamur.ai/free/en/papers/zangari-2026-big-five-personality-prediction-through/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Lorenzo Zangari, Antonin Schnyder, Davide Picca*2026*
348. **[Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation?](https://md.research.elamur.ai/free/en/papers/wi-2026-can-spectral-clipping-enable-better/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hyowon Wi, Noseong Park*2026*
349. **[Entropy-aware Masking for Masked Language Modeling](https://md.research.elamur.ai/free/en/papers/srinivasagan-2026-entropy-aware-masking-masked-language/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Gokul Srinivasagan, Kai Hartung, Munir Georges*2026*
350. **[Frozen LLMs are Native Decoders for High-Norm Semantic Vectors](https://md.research.elamur.ai/free/en/papers/zeng-2026-frozen-llms-are-native-decoders/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunsheng Zeng, Yongmei Tan*2026*
351. **[Ghost in the Shell: Synonym-Aware Logit Shaping Fingerprint for Copyright Protection of Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-ghost-shell-synonym-aware-logit/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaofan Zheng, Xinghao Wang, Xiaojun Wan*2026*
352. **[HU at SemEval-2026 Task 6: A Hybrid Discriminative Modeling of Political Clarity and Evasion](https://md.research.elamur.ai/free/en/papers/munawar-2026-hu-semeval-2026-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Taha Munawar, Basil Khan, Arsal Jangda, et al.*2026*
353. **[Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective](https://md.research.elamur.ai/free/en/papers/mai-2026-learning-invariant-modality-representation-robust/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sijie Mai, Shiqin Han*2026*
354. **[Learning Shortcut Models for Efficient Recursive Reasoning](https://md.research.elamur.ai/free/en/papers/shankar-2026-learning-shortcut-models-efficient-recursive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shiv Shankar*2026*
355. **[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*
356. **[Lost in Translation, and Found: Detecting and Interpreting Translation Effects](https://md.research.elamur.ai/free/en/papers/wein-2026-lost-translation-found-detecting-interpreting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shira Wein, Anna Serbina, Jiyuan Ji, et al.*2026*
357. **[Meaning Representations as Variational Quantum Circuits](https://md.research.elamur.ai/free/en/papers/stokin-2026-meaning-representations-as-variational-quantum/) [International Workshop on Designing Meaning Representations @ LREC](https://md.research.elamur.ai/free/en/venues/dmr/)**Tilen Gaetano Limbäck-Stokin, Tanishka A. Birdavade, Kin Ian Lo, et al.*2026*
358. **[More Than Sum of Its Parts: Deciphering Intent Shifts in Multimodal Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/sun-2026-more-than-sum-its-parts/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Runze Sun, Yu Zheng, Zexuan Xiong, et al.*2026*
359. **[Morphology-Aware Multi-Granularity Representation Learning for Agglutinative Languages](https://md.research.elamur.ai/free/en/papers/zhang-2026-morphology-aware-multi-granularity-representation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhonghao Zhang, Na Liu, Jiajia Ma, et al.*2026*
360. **[Multilingual-To-Multimodal (M2M): Unlocking New Languages with Monolingual Text](https://md.research.elamur.ai/free/en/papers/pasi-2026-multilingual-multimodal-m2m-unlocking-new/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Piyush Singh Pasi*2026*
361. **[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*
362. **[Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks](https://md.research.elamur.ai/free/en/papers/sarwar-2026-multimodal-unlearning-across-vision-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, et al.*2026*
363. **[SPQ: An Ensemble Technique for Large Language Model Compression](https://md.research.elamur.ai/free/en/papers/yao-2026-spq-ensemble-technique-large-language/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jiamin Yao, Eren Gultepe*2026*
364. **[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*
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