---
title: "Who cites Samuel L Smith — page 3 — 1,485 citing papers"
description: "1,485 papers of the Elamur Research library cite the works of Samuel L Smith, found in their bibliographies · page 3 of 3 · 201–287; the most…"
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# Who cites Samuel L Smith

1,513 citations of their works from 1,485 papers of our library (of the 149,439 whose bibliographies we read) · 287 with a page here, the most cited first · page 3 of 3 · 201–287 · [← Samuel L Smith](https://md.research.elamur.ai/free/en/authors/samuel-l-smith/)

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

201. **[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*
202. **[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*
203. **[PSK at SemEval-2026 Task 9: Multilingual Polarization Detection Using Ensemble Gemma Models with Synthetic Data Augmentation](https://md.research.elamur.ai/free/en/papers/pulipaka-2026-psk-semeval-2026-task-9/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Srikar Kashyap Pulipaka*2026 · 2 citations*
204. **[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*
205. **[Robust Uncertainty Quantification for Self-Evolving Large Language Models via Continual Domain Pretraining](https://md.research.elamur.ai/free/en/papers/zhou-2026-robust-uncertainty-quantification-self-evolving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaofan Zhou, Lu Cheng*2026 · 2 citations*
206. **[Adapting Falcon3-7B Language Model for Arabic: Methods, Challenges, and Outcomes](https://md.research.elamur.ai/free/en/papers/boussaha-2025-adapting-falcon3-7b-language-model/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Basma El Amel Boussaha, Mohammed Alyafeai, Ahmed Alzubaidi, et al.*2025 · 2 citations*
207. **[Arabizi vs LLMs: Can the Genie Understand the Language of Aladdin?](https://md.research.elamur.ai/free/en/papers/almaoui-2025-arabizi-vs-llms-can-genie/) [Machine Translation Summit (MT Summit)](https://md.research.elamur.ai/free/en/venues/mtsummit/)**Perla Al Almaoui, Pierrette Bouillon, Simon Hengchen*2025 · 2 citations*
208. **[Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition](https://md.research.elamur.ai/free/en/papers/greco-2024-talking-talk-does-not-entail/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Candida Maria Greco, Lucio La Cava, Andrea Tagarelli*2024 · 2 citations*
209. **[AdaptBPE: From General Purpose to Specialized Tokenizers](https://md.research.elamur.ai/free/en/papers/liyanage-2026-adaptbpe-general-purpose-specialized-tokenizers/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Vijini Pilana Liyanage, François Yvon*2026 · 1 citation*
210. **[Beyond Static Personas: Situational Personality Steering for Large Language Models](https://md.research.elamur.ai/free/en/papers/wei-2026-beyond-static-personas-situational-personality/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zesheng Wei, Mengxiang Li, Zilei Wang, et al.*2026 · 1 citation*
211. **[Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data](https://md.research.elamur.ai/free/en/papers/quinlan-2026-chat-ts-enhancing-multi-modal/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Paul Quinlan, Qingguo Li, Xiaodan Zhu*2026 · 1 citation*
212. **[Cultural Benchmarking of LLMs in Standard and Dialectal Arabic Dialogues](https://md.research.elamur.ai/free/en/papers/kautsar-2026-cultural-benchmarking-llms-standard-dialectal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Muhammad Dehan Al Kautsar, Saeed Almheiri, Momina Ahsan, et al.*2026 · 1 citation*
213. **[Financial Causal QA via Instruction and Prompt Tuning of Gemma3-12B](https://md.research.elamur.ai/free/en/papers/trivedi-2026-financial-causal-qa-instruction-prompt/) [Financial Narrative Processing Workshop](https://md.research.elamur.ai/free/en/venues/fnp/)**Avinash Trivedi, Chindukuri Mallikarjuna*2026 · 1 citation*
214. **[From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models](https://md.research.elamur.ai/free/en/papers/tong-2026-static-inference-dynamic-interaction-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junlong Tong, Zilong Wang, YuJie Ren, et al.*2026 · 1 citation*
215. **[From “Thinking” to “Justifying”: Aligning High-Stakes Explainability with Professional Communication Standards](https://md.research.elamur.ai/free/en/papers/qian-2026-thinking-justifying-aligning-high-stakes/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chen Qian, Yimeng Wang, Yu Chen, et al.*2026 · 1 citation*
216. **[H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs](https://md.research.elamur.ai/free/en/papers/tekin-2026-h3fusion-helpful-harmless-honest-fusion/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, et al.*2026 · 1 citation*
217. **[Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM Agents](https://md.research.elamur.ai/free/en/papers/zhen-2026-hierarchical-reinforcement-learning-augmented-step/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuai Zhen, Yanhua Yu, Ruopei Guo, et al.*2026 · 1 citation*
218. **[Less Is More? The Role of Demographic Author Information in Emotion Classification of Ambiguous Text](https://md.research.elamur.ai/free/en/papers/weber-2026-less-is-more-role-demographic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sabine Weber, Lynn Greschner, Roman Klinger*2026 · 1 citation*
219. **[Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/song-2026-mechanistic-interpretability-should-prioritize-feature/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangchen Song, Aashiq Muhamed, Yujia Zheng, et al.*2026 · 1 citation*
220. **[POSTCONDBENCH: Benchmarking Correctness and Completeness in Formal Postcondition Inference](https://md.research.elamur.ai/free/en/papers/zhang-2026-postcondbench-benchmarking-correctness-completeness-formal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Gehao Zhang, Juan Zhai*2026 · 1 citation*
221. **[PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation](https://md.research.elamur.ai/free/en/papers/park-2026-prisp-privacy-safe-few-shot/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junho Park, Dohoon Kim, Taesup Moon*2026 · 1 citation*
222. **[Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and Domains](https://md.research.elamur.ai/free/en/papers/sayeedi-2026-ready-translate-not-represent-bias/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Md. Faiyaz Abdullah Sayeedi, Subhey Sadi Rahman, Md. Mahbub Alam, et al.*2026 · 1 citation*
223. **[TinyAttack: Exploring Stylistic Vulnerabilities in Large Language Models](https://md.research.elamur.ai/free/en/papers/mamta-2026-tinyattack-exploring-stylistic-vulnerabilities-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mamta Mamta, Bogdan Grecu, Oana Cocarascu*2026 · 1 citation*
224. **[Topic-Based Watermarks for Large Language Models](https://md.research.elamur.ai/free/en/papers/nemecek-2026-topic-based-watermarks-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Alexander Nemecek, Yuzhou Jiang, Erman Ayday*2026 · 1 citation*
225. **[Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic](https://md.research.elamur.ai/free/en/papers/reif-2026-vocab-diet-reshaping-vocabulary-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuval Reif, Guy Kaplan, Roy Schwartz*2026 · 1 citation*
226. **[Śmigiel Dataset: Laying Foundations for Investigating Machine-Generated Text Detection in Polish](https://md.research.elamur.ai/free/en/papers/strebeyko-2026-smigiel-dataset-laying-foundations-investigating/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jakub Strebeyko, Alina Wróblewska, Piotr Przybyła*2026 · 1 citation*
227. [**Language Specific Knowledge: Do Models Know Better in X than in English? arXiv:2505.14990**Ishika Agarwal, Nimet Beyza Bozdag, Dilek Hakkani-Tur*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/agarwal-2025-language-specific-knowledge-models-know/)
228. [**LCHAIM - Investigating Long Context Reasoning in Hebrew**Ehud Malul, Oriel Perets, Ziv Mor, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/malul-2025-lchaim-investigating-long-context-reasoning/)
229. **[Quasar at MAHED Shared Task : Decoding Emotions and Offense in Arabic Text using LLM and Transformer-Based Approaches](https://md.research.elamur.ai/free/en/papers/chowdhury-2025-quasar-mahed-shared-task-decoding/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Md Sagor Chowdhury, Adiba Fairooz Chowdhury*2025 · 1 citation*
230. [**A Cascade Reinforcement Learning Strategy for Efficiently Enhancing the Reasoning Ability of Multimodal Large Language Models (高效提升多模态大语言模型推理能力的级联强化学习策略) Acta Automatica Sinica (自动化学报)**Weiyun Wang (王玮赟), Hengjun Pu (蒲恒骏), Linglin Jing (景凌林), et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-cascade-reinforcement-learning/)
231. **[A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement](https://md.research.elamur.ai/free/en/papers/tang-2026-scalable-multi-llm-collaboration-system/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shengji Tang, Jianjian Cao, Weihao Lin, et al.*2026*
232. **[Activation Decomposition and Steering for LLM Backdoor Remediation](https://md.research.elamur.ai/free/en/papers/zhong-2026-activation-decomposition-steering-llm-backdoor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lingfeng Zhong, Qiongkai Xu, Usman Naseem*2026*
233. **[Aurum at CRF Filling 2026: Modular DSPy Extractors with Qwen3-Max for Multilingual CRF Filling](https://md.research.elamur.ai/free/en/papers/ulli-2026-aurum-crf-filling-2026-modular/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Vinay Babu Ulli, Jyoti Kumari, Anindita Mondal*2026*
234. **[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*
235. **[Bridging Cognition and Affect: Emotion-Aware Opinion Summarization using LLMs](https://md.research.elamur.ai/free/en/papers/attri-2026-bridging-cognition-affect-emotion-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Arnav Attri, Anuj Attri*2026*
236. **[CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling](https://md.research.elamur.ai/free/en/papers/zhao-2026-comet-collaborative-memory-transformer-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Runsong Zhao, Shilei Liu, Jiwei Tang, et al.*2026*
237. **[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*
238. **[CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures](https://md.research.elamur.ai/free/en/papers/pandey-2026-core-measuring-multi-agent-llm/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Punya Syon Pandey, Yongjin Yang, Jiarui Liu, et al.*2026*
239. **[Detecting What Queries Seek: Steering LLM Safety with FFN Output Activation Monitoring](https://md.research.elamur.ai/free/en/papers/luo-2026-detecting-what-queries-seek-steering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaohao Luo, Ying Wei, Rui Zhao*2026*
240. **[DynamicFocalPO: Adaptive Focusing Strategy for Preference Optimization](https://md.research.elamur.ai/free/en/papers/zhou-2026-dynamicfocalpo-adaptive-focusing-strategy-preference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shu Zhou, Junan Chen, Rui Ling, et al.*2026*
241. **[Evaluating Hierarchical Aggregation and LLM-Based Matching for Synset Selection in Ancient Greek](https://md.research.elamur.ai/free/en/papers/villa-2026-evaluating-hierarchical-aggregation-llm-based/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Luca Brigada Villa, Marco Passarotti, Chiara Zanchi, et al.*2026*
242. **[Evaluating the Expressive Appropriateness of Speech in Rich Contexts](https://md.research.elamur.ai/free/en/papers/wang-2026-evaluating-expressive-appropriateness-speech-rich/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianrui Wang, Ziyang Ma, Yizhou Peng, et al.*2026*
243. **[Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost?](https://md.research.elamur.ai/free/en/papers/rajput-2026-evaluation-drift-llm-personality-induction/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Prateek Kumar Rajput, Yewei Song, Iyiola Emmanuel Olatunji, et al.*2026*
244. **[Event Detection with a Context-Aware Encoder and LoRA for Improved Performance on Long-Tailed Classes](https://md.research.elamur.ai/free/en/papers/monsur-2026-event-detection-context-aware-encoder/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abdullah Al Monsur, Nitesh Vamshi Bommisetty, Gene Louis Kim*2026*
245. **[F-Actor: Controllable Conversational Behavior in Full-Duplex Models](https://md.research.elamur.ai/free/en/papers/zufle-2026-f-actor-controllable-conversational-behavior/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Maike Züfle, Ondrej Klejch, Nicholas Sanders, et al.*2026*
246. **[From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts?](https://md.research.elamur.ai/free/en/papers/mueller-2026-isolation-entanglement-when-do-interpretability/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aaron Mueller, Andrew Lee, Shruti Joshi, et al.*2026*
247. **[From Traditional Taggers to LLMs: A Comparative Study of POS Tagging for Medieval Romance Languages](https://md.research.elamur.ai/free/en/papers/schoffel-2026-traditional-taggers-llms-comparative-study/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**Matthias Schöffel, Esteban Garces Arias*2026*
248. **[Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment](https://md.research.elamur.ai/free/en/papers/zhang-2026-generalizable-llm-learning-graph-synthetic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yizhuo Zhang, Heng Wang, Shangbin Feng, et al.*2026*
249. **[Global vs. Local Sentence Embeddings for Brazilian Portuguese: Revisiting Monolingual Models in the Age of Foundation Models](https://md.research.elamur.ai/free/en/papers/peixoto-2026-global-vs-local-sentence-embeddings/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Matheus Peixoto, Guilherme Silva, Giacomo Figueredo, et al.*2026*
250. **[GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning](https://md.research.elamur.ai/free/en/papers/tian-2026-grass-gradient-based-adaptive-layer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaiyuan Tian, Linbo Qiao, Yu Tang, et al.*2026*
251. [**HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model**Noam Kayzer, Dan Revital, Ori Bar Joseph, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kayzer-2026-hebatron-hebrew-specialized-open-weight/)
252. **[HiGoE: Hierarchical Graph of Evidence to Enhance Retrieval-Augmented Generation for Long-context Summarization](https://md.research.elamur.ai/free/en/papers/yuan-2026-higoe-hierarchical-graph-evidence-enhance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Long Yuan, Kaiwen Tian, Zi Chen, et al.*2026*
253. **[HistoryBankQA: Multilingual Temporal Question Answering on Historical Events](https://md.research.elamur.ai/free/en/papers/mandal-2026-historybankqa-multilingual-temporal-question-answering/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Biswadip Mandal, Anant Khandelwal, Manish Gupta*2026*
254. **[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*
255. **[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*
256. **[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*
257. **[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*
258. **[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*
259. **[Linguistic Initialization for Inductive Reasoning in Heterogeneous Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/pasquini-2026-linguistic-initialization-inductive-reasoning-heterogeneous/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Daniele Pasquini, Danilo Croce, Roberto Basili*2026*
260. **[Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability Patching](https://md.research.elamur.ai/free/en/papers/shi-2026-neuronal-insights-into-llm-attacks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dan Shi, Renren Jin, Zhuowen Han, et al.*2026*
261. **[One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction](https://md.research.elamur.ai/free/en/papers/lu-2026-one-panel-does-not-fit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxing Lu, Yushuhong Lin, Jason Zhang*2026*
262. **[PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information Leakage](https://md.research.elamur.ai/free/en/papers/nakka-2026-pii-jailbreaking-llms-activation-steering/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Krishna Kanth Nakka, Xue Jiang, Dmitrii Usynin, et al.*2026*
263. **[Pragmatic Modelling in Language Learning: Caregiver Question-Answer Feedback in Child-Directed Dialogue](https://md.research.elamur.ai/free/en/papers/bala-2026-pragmatic-modelling-language-learning-caregiver/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Maryam Bala, Johannes Heim, Elspeth Edelstein, et al.*2026*
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