---
title: "Who cites Benoit Steiner — page 3 — 4,980 papers of our library"
description: "4,980 papers of the Elamur Research library cite the works of Benoit Steiner, found in their bibliographies · page 3 of 5 · 201–300; the most…"
canonical: "https://research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/3/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/3/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Benoit Steiner](https://md.research.elamur.ai/free/en/authors/benoit-steiner/) / [cited by](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/) / page 3

# Who cites Benoit Steiner

5,349 citations of their works from 4,980 papers of our library (of the 149,439 whose bibliographies we read) · 473 with a page here, the most cited first · page 3 of 5 · 201–300 · [← Benoit Steiner](https://md.research.elamur.ai/free/en/authors/benoit-steiner/)

[← prev](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/2/) **3** [4](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/4/) [5](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/5/) [next →](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/4/)

201. [**Large Language Models in Law: A Survey arXiv:2312.03718**Jinqi Lai, Wensheng Gan, Jiayang Wu, et al.*2023 · 80 citations*](https://md.research.elamur.ai/free/en/papers/lai-2023-large-language-models-law-survey/)
202. [**S-LoRA: Serving Thousands of Concurrent LoRA Adapters MLSys 2024**Ying Sheng, Shiyi Cao, Dacheng Li, et al.*2023 · 80 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2023-s-lora-serving-thousands-concurrent/)
203. [**BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text arXiv:2403.18421**Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, et al.*2024 · 79 citations*](https://md.research.elamur.ai/free/en/papers/bolton-2024-biomedlm-2-7b-parameter-language/)
204. **[Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning](https://md.research.elamur.ai/free/en/papers/paul-2024-making-reasoning-matter-measuring-improving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Debjit Paul, Robert West, Antoine Bosselut, et al.*2024 · 79 citations*
205. [**DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference arXiv 2024 (Microsoft DeepSpeed)**Connor Holmes, Masahiro Tanaka, Michael Wyatt, et al.*2024 · 78 citations*](https://md.research.elamur.ai/free/en/papers/holmes-2024-deepspeed-fastgen-high-throughput-text/)
206. [**Time-LLM: Time Series Forecasting by Reprogramming Large Language Models arXiv:2310.01728**Ming Jin, Shiyu Wang, Lintao Ma, et al.*2023 · 77 citations*](https://md.research.elamur.ai/free/en/papers/jin-2023-time-llm-time-series-forecasting/)
207. [**A Primer on the Inner Workings of Transformer-based Language Models arXiv:2405.00208**Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.*2024 · 72 citations*](https://md.research.elamur.ai/free/en/papers/ferrando-2024-primer-inner-workings-transformer-based/)
208. [**TASO: Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions SOSP 2019**Zhihao Jia, Oded Padon, James Thomas, et al.*2019 · 72 citations*](https://md.research.elamur.ai/free/en/papers/jia-2019-taso-optimizing-deep-learning-computation/)
209. [**CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark arXiv:2106.08087**Ningyu Zhang, Mosha Chen, Zhen Bi, et al.*2021 · 71 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-cblue-chinese-biomedical-language/)
210. **[English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too](https://md.research.elamur.ai/free/en/papers/phang-2020-english-intermediate-task-training-improves/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Jason Phang, Iacer Calixto, Phu Mon Htut, et al.*2020 · 70 citations*
211. [**Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog**Shereen Oraby, Vrindavan Harrison, Amita Misra, et al.*2017 · 70 citations*](https://md.research.elamur.ai/free/en/papers/oraby-2017-are-you-serious-rhetorical-questions/)
212. **[Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting](https://md.research.elamur.ai/free/en/papers/beck-2024-sensitivity-performance-robustness-deconstructing-effect/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tilman Beck, Hendrik Schuff, Anne Lauscher, et al.*2024 · 69 citations*
213. **[Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards](https://md.research.elamur.ai/free/en/papers/wang-2024-arithmetic-control-llms-diverse-user/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoxiang Wang, Yong Lin, Wei Xiong, et al.*2024 · 68 citations*
214. [**MagicPIG: LSH Sampling for Efficient LLM Generation arXiv:2410.16179**Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, et al.*2024 · 68 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-magicpig-lsh-sampling-efficient-llm/)
215. **[RNNs can generate bounded hierarchical languages with optimal memory](https://md.research.elamur.ai/free/en/papers/hewitt-2020-rnns-can-generate-bounded-hierarchical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**John Hewitt, Michael Hahn, Surya Ganguli, et al.*2020 · 65 citations*
216. **[A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners](https://md.research.elamur.ai/free/en/papers/jiang-2024-peek-into-token-bias-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, et al.*2024 · 64 citations*
217. [**Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation arXiv:2503.11926**Bowen Baker, Joost Huizinga, Leo Gao, et al.*2025 · 63 citations*](https://md.research.elamur.ai/free/en/papers/baker-2025-monitoring-reasoning-models-misbehavior-risks/)
218. **[Cross-document Coreference Resolution over Predicted Mentions](https://md.research.elamur.ai/free/en/papers/cattan-2021-cross-document-coreference-resolution-over/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Arie Cattan, Alon Eirew, Gabriel Stanovsky, et al.*2021 · 63 citations*
219. **[FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models](https://md.research.elamur.ai/free/en/papers/dobler-2023-focus-effective-embedding-initialization-monolingual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Konstantin Dobler, Gerard de Melo*2023 · 62 citations*
220. [**Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data Proceedings of the First International Workshop on Natural Language Processing Beyond Text**Xinyu Wang, Xiaowen Sun, Tan Yang, et al.*2020 · 62 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-building-bridge-method-image-text/)
221. [**Compressed Chain of Thought: Efficient Reasoning Through Dense Representations arXiv:2412.13171**Jeffrey Cheng, Benjamin Van Durme*2024 · 60 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2024-compressed-chain-thought-efficient-reasoning/)
222. **[Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks](https://md.research.elamur.ai/free/en/papers/asai-2022-evidentiality-guided-generation-knowledge-intensive/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Akari Asai, Matt Gardner, Hannaneh Hajishirzi*2022 · 60 citations*
223. **[Improving Multi-Party Dialogue Discourse Parsing via Domain Integration](https://md.research.elamur.ai/free/en/papers/liu-2021-improving-multi-party-dialogue-discourse/) [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/)**Zhengyuan Liu, Nancy Chen*2021 · 60 citations*
224. **[Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/ma-2022-linguistic-rules-based-corpus-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shirong Ma, Yinghui Li, Rongyi Sun, et al.*2022 · 59 citations*
225. **[OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI](https://md.research.elamur.ai/free/en/papers/huang-2024-olympicarena-benchmarking-multi-discipline-cognitive/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zhen Huang, Zengzhi Wang, Shijie Xia, et al.*2024 · 56 citations*
226. **[Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions](https://md.research.elamur.ai/free/en/papers/zelikman-2023-parsel-algorithmic-reasoning-language-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Eric Zelikman, Qian Huang, Gabriel Poesia, et al.*2023 · 56 citations*
227. [**A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond arXiv:2503.21614**Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.*2025 · 55 citations*](https://md.research.elamur.ai/free/en/papers/qu-2025-survey-efficient-reasoning-large-reasoning/)
228. [**Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs arXiv:2402.14903**Aaditya K. Singh, DJ Strouse*2024 · 55 citations*](https://md.research.elamur.ai/free/en/papers/singh-2024-tokenization-counts-impact-tokenization-arithmetic/)
229. [**In-context Learning with Retrieved Demonstrations for Language Models: A Survey arXiv:2401.11624**Man Luo, Xin Xu, Yue Liu, et al.*2024 · 54 citations*](https://md.research.elamur.ai/free/en/papers/luo-2024-context-learning-retrieved-demonstrations-language/)
230. [**LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution**Shon Otmazgin, Arie Cattan, Yoav Goldberg*2023 · 54 citations*](https://md.research.elamur.ai/free/en/papers/otmazgin-2023-lingmess-linguistically-informed-multi-expert/)
231. **[Highly Effective Arabic Diacritization using Sequence to Sequence Modeling](https://md.research.elamur.ai/free/en/papers/mubarak-2019-highly-effective-arabic-diacritization-sequence/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hamdy Mubarak, Ahmed Abdelali, Hassan Sajjad, et al.*2019 · 51 citations*
232. **[ID10M: Idiom Identification in 10 Languages](https://md.research.elamur.ai/free/en/papers/tedeschi-2022-id10m-idiom-identification-10-languages/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Simone Tedeschi, Federico Martelli, Roberto Navigli*2022 · 49 citations*
233. [**PanGu-Coder: Program Synthesis with Function-Level Language Modeling arXiv:2207.11280**Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta, et al.*2022 · 49 citations*](https://md.research.elamur.ai/free/en/papers/christopoulou-2022-pangu-coder-program-synthesis/)
234. **[A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution](https://md.research.elamur.ai/free/en/papers/lai-2021-context-dependent-gated-module-incorporating/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tuan Lai, Heng Ji, Trung Bui, et al.*2021 · 48 citations*
235. **[ALUE: Arabic Language Understanding Evaluation](https://md.research.elamur.ai/free/en/papers/seelawi-2021-alue-arabic-language-understanding-evaluation/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Haitham Seelawi, Ibraheem Tuffaha, Mahmoud Gzawi, et al.*2021 · 48 citations*
236. [**Language models scale reliably with over-training and on downstream tasks arXiv:2403.08540**Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/gadre-2024-language-models-scale-reliably-over/)
237. **[SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning](https://md.research.elamur.ai/free/en/papers/jia-2024-soul-unlocking-power-second-order/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jinghan Jia, Yihua Zhang, Yimeng Zhang, et al.*2024 · 46 citations*
238. [**Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding arXiv:2309.15028**Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, et al.*2023 · 46 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-don-t-throw-away-value/)
239. [**Cross-Domain Generalization of Neural Constituency Parsers**Daniel Fried, Nikita Kitaev, Dan Klein*2019 · 46 citations*](https://md.research.elamur.ai/free/en/papers/fried-2019-cross-domain-generalization-neural-constituency/)
240. [**Scaling Laws for Generative Mixed-Modal Language Models arXiv:2301.03728**Armen Aghajanyan, Lili Yu, Alexis Conneau, et al.*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/aghajanyan-2023-scaling-laws-generative-mixed-modal/)
241. [**Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels arXiv:2406.17633**Nicholas Pangakis, Samuel Wolken*2024 · 42 citations*](https://md.research.elamur.ai/free/en/papers/pangakis-2024-knowledge-distillation-automated-annotation-supervised/)
242. [**Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models arXiv:2404.12387**Reka Team: Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, et al.*2024 · 42 citations*](https://md.research.elamur.ai/free/en/papers/ormazabal-2024-reka-core-flash-edge-series/)
243. [**Kimi K3: Open Frontier Intelligence arXiv:2607.24653**Kimi Team, Tongtong Bai, Yifan Bai, et al.*2026 · 40 citations*](https://md.research.elamur.ai/free/en/papers/kimi-team-2026-kimi-k3-open-frontier/)
244. **[Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts](https://md.research.elamur.ai/free/en/papers/tan-2024-personalized-pieces-efficient-personalized-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhaoxuan Tan, Zheyuan Liu, Meng Jiang*2024 · 40 citations*
245. [**Aligning Language Models with Preferences through f-divergence Minimization arXiv:2302.08215**Dongyoung Go, Tomasz Korbak, German Kruszewski, et al.*2023 · 39 citations*](https://md.research.elamur.ai/free/en/papers/go-2023-aligning-language-models-preferences-through/)
246. **[Multilingual Neural RST Discourse Parsing](https://md.research.elamur.ai/free/en/papers/liu-2020-multilingual-neural-rst-discourse-parsing/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zhengyuan Liu, Ke Shi, Nancy Chen*2020 · 37 citations*
247. **[CompAct: Compressing Retrieved Documents Actively for Question Answering](https://md.research.elamur.ai/free/en/papers/yoon-2024-compact-compressing-retrieved-documents-actively/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, et al.*2024 · 34 citations*
248. [**Symbolic Learning Enables Self-Evolving Agents arXiv:2406.18532**Wangchunshu Zhou, Yixin Ou, Shengwei Ding, et al.*2024 · 34 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2024-symbolic-learning-enables-self-evolving/)
249. **[Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference](https://md.research.elamur.ai/free/en/papers/held-2021-focus-what-matters-applying-discourse/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**William Held, Dan Iter, Dan Jurafsky*2021 · 34 citations*
250. [**TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer arXiv:2307.14995**Zhen Qin, Dong Li, Weigao Sun, et al.*2023 · 33 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-transnormerllm-faster-better-large/)
251. **[Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic](https://md.research.elamur.ai/free/en/papers/camara-2022-mapping-multilingual-margins-intersectional-biases/) [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/)**António Câmara, Nina Taneja, Tamjeed Azad, et al.*2022 · 33 citations*
252. **[ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews](https://md.research.elamur.ai/free/en/papers/arcy-2024-aries-corpus-scientific-paper-edits/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mike D'Arcy, Alexis Ross, Erin Bransom, et al.*2024 · 32 citations*
253. **[RST Discourse Parsing with Second-Stage EDU-Level Pre-training](https://md.research.elamur.ai/free/en/papers/yu-2022-rst-discourse-parsing-second-stage/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nan Yu, Meishan Zhang, Guohong Fu, et al.*2022 · 32 citations*
254. **[Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing](https://md.research.elamur.ai/free/en/papers/jiao-2024-learning-planning-based-reasoning-trajectories/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, et al.*2024 · 31 citations*
255. [**Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models arXiv:2401.04658**Zhen Qin, Weigao Sun, Dong Li, et al.*2024 · 31 citations*](https://md.research.elamur.ai/free/en/papers/qin-2024-lightning-attention-2-free/)
256. [**Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation arXiv:2305.18846**Minki Kang, Jin Myung Kwak, Jinheon Baek, et al.*2023 · 31 citations*](https://md.research.elamur.ai/free/en/papers/kang-2023-knowledge-graph-augmented-language-models/)
257. **[PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition](https://md.research.elamur.ai/free/en/papers/chen-2023-propsegment-large-scale-corpus-proposition/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, et al.*2023 · 31 citations*
258. **[Coreference for Discourse Parsing: A Neural Approach](https://md.research.elamur.ai/free/en/papers/guz-2020-coreference-discourse-parsing-neural-approach/) [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/)**Grigorii Guz, Giuseppe Carenini*2020 · 31 citations*
259. **[Can Indirect Prompt Injection Attacks Be Detected and Removed?](https://md.research.elamur.ai/free/en/papers/chen-2025-can-indirect-prompt-injection-attacks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yulin Chen, Haoran Li, Yuan Sui, et al.*2025 · 30 citations*
260. **[C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection](https://md.research.elamur.ai/free/en/papers/zhao-2023-c-stance-large-dataset-chinese/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenye Zhao, Yingjie Li, Cornelia Caragea*2023 · 30 citations*
261. **[Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement](https://md.research.elamur.ai/free/en/papers/sun-2025-persona-db-efficient-large-language/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Chenkai Sun, Ke Yang, Revanth Gangi Reddy, et al.*2025 · 29 citations*
262. **[Octopus: A Multitask Model and Toolkit for Arabic Natural Language Generation](https://md.research.elamur.ai/free/en/papers/elmadany-2023-octopus-multitask-model-toolkit-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**AbdelRahim Elmadany, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed*2023 · 29 citations*
263. **[DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection](https://md.research.elamur.ai/free/en/papers/gessler-2021-discodisco-disrpt2021-shared-task-system/) [Shared Task on Discourse Relation Parsing and Treebanking](https://md.research.elamur.ai/free/en/venues/disrpt/)**Luke Gessler, Shabnam Behzad, Yang Janet Liu, et al.*2021 · 29 citations*
264. **[A Survey on Asking Clarification Questions Datasets in Conversational Systems](https://md.research.elamur.ai/free/en/papers/rahmani-2023-survey-asking-clarification-questions-datasets/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hossein A. Rahmani, Xi Wang, Yue Feng, et al.*2023 · 28 citations*
265. [**Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models arXiv:2310.00836**Man Luo, Shrinidhi Kumbhar, Ming shen, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/luo-2023-towards-logiglue-brief-survey-benchmark/)
266. **[Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.*2022 · 27 citations*
267. **[TC–RAG: Turing–Complete RAG's Case study on Medical LLM Systems](https://md.research.elamur.ai/free/en/papers/jiang-2025-tc-rag-turing-complete-rag/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinke Jiang, Yue Fang, Rihong Qiu, et al.*2025 · 25 citations*
268. **[The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating It](https://md.research.elamur.ai/free/en/papers/yong-2025-state-multilingual-llm-safety-research/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zheng Xin Yong, Beyza Ermis, Marzieh Fadaee, et al.*2025 · 25 citations*
269. **[Detecting Multilingual COVID-19 Misinformation on Social Media via Contextualized Embeddings](https://md.research.elamur.ai/free/en/papers/panda-2021-detecting-multilingual-covid-19-misinformation/) [Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda](https://md.research.elamur.ai/free/en/venues/nlp4if/)**Subhadarshi Panda, Sarah Ita Levitan*2021 · 25 citations*
270. **[Defense Against Prompt Injection Attack by Leveraging Attack Techniques](https://md.research.elamur.ai/free/en/papers/chen-2025-defense-against-prompt-injection-attack/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yulin Chen, Haoran Li, Zihao Zheng, et al.*2025 · 24 citations*
271. **[Is this Dialogue Coherent? Learning from Dialogue Acts and Entities](https://md.research.elamur.ai/free/en/papers/cervone-2020-is-this-dialogue-coherent-learning/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Alessandra Cervone, Giuseppe Riccardi*2020 · 24 citations*
272. **[Predicting In-Game Actions from Interviews of NBA Players](https://md.research.elamur.ai/free/en/papers/oved-2020-predicting-game-actions-interviews-nba/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Nadav Oved, Amir Feder, Roi Reichart*2020 · 24 citations*
273. **[UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language](https://md.research.elamur.ai/free/en/papers/xi-2023-unicorn-unified-cognitive-signal-reconstruction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nuwa Xi, Sendong Zhao, Haochun Wang, et al.*2023 · 23 citations*
274. **[Dialogue Act-based Breakdown Detection in Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/yamaguchi-2021-dialogue-act-based-breakdown-detection/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Atsuki Yamaguchi, Kosui Iwasa, Katsuhide Fujita*2021 · 23 citations*
275. **[Answer Convergence as a Signal for Early Stopping in Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2025-answer-convergence-as-signal-early/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xin Liu, Lu Wang*2025 · 22 citations*
276. **[HALoGEN: Fantastic LLM Hallucinations and Where to Find Them](https://md.research.elamur.ai/free/en/papers/ravichander-2025-halogen-fantastic-llm-hallucinations-where/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abhilasha Ravichander, Shrusti Ghela, David Wadden, et al.*2025 · 22 citations*
277. **[How Likely Do LLMs with CoT Mimic Human Reasoning?](https://md.research.elamur.ai/free/en/papers/bao-2025-how-likely-do-llms-cot/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Guangsheng Bao, Hongbo Zhang, Cunxiang Wang, et al.*2025 · 22 citations*
278. **[Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens](https://md.research.elamur.ai/free/en/papers/zhao-2026-is-chain-thought-reasoning-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chengshuai Zhao, Zhen Tan, Pingchuan Ma, et al.*2026 · 21 citations*
279. **[M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wu-2025-m-absa-multilingual-dataset-aspect/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**ChengYan Wu, Bolei Ma, Yihong Liu, et al.*2025 · 21 citations*
280. [**MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning arXiv:2402.11260**Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-moral-moe-augmented-lora-llms/)
281. [**Personality Alignment of Large Language Models arXiv:2408.11779**Minjun Zhu, Yixuan Weng, Linyi Yang, et al.*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2024-personality-alignment-large-language-models/)
282. [**Source-Aware Training Enables Knowledge Attribution in Language Models arXiv:2404.01019**Muhammad Khalifa, David Wadden, Emma Strubell, et al.*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/khalifa-2024-source-aware-training-enables-knowledge/)
283. **[AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/alghamdi-2023-aramus-pushing-limits-data-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Asaad Alghamdi, Xinyu Duan, Wei Jiang, et al.*2023 · 21 citations*
284. **[CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation](https://md.research.elamur.ai/free/en/papers/ziegler-2025-craft-your-dataset-task-specific/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, et al.*2025 · 20 citations*
285. **[Resolving Discrepancies in Compute-Optimal Scaling of Language Models](https://md.research.elamur.ai/free/en/papers/porian-2024-resolving-discrepancies-compute-optimal-scaling/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Tomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.*2024 · 19 citations*
286. **[Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining](https://md.research.elamur.ai/free/en/papers/guz-2020-unleashing-power-neural-discourse-parsers/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Grigorii Guz, Patrick Huber, Giuseppe Carenini*2020 · 19 citations*
287. **[Neural End-to-end Coreference Resolution for German in Different Domains](https://md.research.elamur.ai/free/en/papers/schroder-neural-end-end-coreference-resolution/) [Conference on Natural Language Processing](https://md.research.elamur.ai/free/en/venues/konvens/)**Fynn Schröder, Hans Ole Hatzel, Chris Biemann*19 citations*
288. **[LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts](https://md.research.elamur.ai/free/en/papers/ren-2025-llms-know-their-vulnerabilities-uncover/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qibing Ren, Hao Li, Dongrui Liu, et al.*2025 · 18 citations*
289. [**Locating and Editing Factual Associations in Mamba arXiv:2404.03646**Arnab Sen Sharma, David Atkinson, David Bau*2024 · 18 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2024-locating-editing-factual-associations-mamba/)
290. **[Learning English with Peppa Pig](https://md.research.elamur.ai/free/en/papers/nikolaus-2022-learning-english-peppa-pig/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Mitja Nikolaus, Afra Alishahi, Grzegorz Chrupała*2022 · 18 citations*
291. [**Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary**Stefan Grünewald, Annemarie Friedrich, Jonas Kuhn*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/grunewald-2021-applying-occam-s-razor-transformer/)
292. **[Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization](https://md.research.elamur.ai/free/en/papers/alkhamissi-2020-deep-diacritization-efficient-hierarchical-recurrence/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Badr AlKhamissi, Muhammad ElNokrashy, Mohamed Gabr*2020 · 18 citations*
293. [**Exploring Transformer Based Models to Identify Hate Speech and Offensive Content in English and Indo-Aryan Languages arXiv:2111.13974**Somnath Banerjee, Maulindu Sarkar, Nancy Agrawal, et al.*2021 · 17 citations*](https://md.research.elamur.ai/free/en/papers/banerjee-2021-exploring-transformer-based-models-identify/)
294. **[A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing](https://md.research.elamur.ai/free/en/papers/kobayashi-2022-simple-strong-baseline-end-end/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, et al.*2022 · 16 citations*
295. [**AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset arXiv:2105.03143**Mohamed Seghir Hadj Ameur, Hassina Aliane*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ameur-2021-aracovid19-mfh-arabic-covid-19/)
296. [**JABER and SABER: Junior and Senior Arabic BERt arXiv:2112.04329**Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2021-jaber-saber-junior-senior-arabic/)
297. **[Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions](https://md.research.elamur.ai/free/en/papers/al-bataineh-2019-deep-contextualized-pairwise-semantic-similarity/) [Proceedings - International Conference on Tools with Artificial Intelligence, TAI](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/)**Hesham Al-Bataineh, Wael Farhan, Ahmad Mustafa, et al.*2019 · 16 citations*
298. **[FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling](https://md.research.elamur.ai/free/en/papers/zhao-2025-fr-spec-accelerating-large-vocabulary/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weilin Zhao, Tengyu Pan, Xu Han, et al.*2025 · 15 citations*
299. **[Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps](https://md.research.elamur.ai/free/en/papers/tutek-2025-measuring-chain-thought-faithfulness-unlearning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Martin Tutek, Fateme Hashemi Chaleshtori, Ana Marasovic, et al.*2025 · 15 citations*
300. [**"You might think about slightly revising the title": Identifying Hedges in Peer-tutoring Interactions**Yann Raphalen, Chloé Clavel, Justine Cassell*2022 · 15 citations*](https://md.research.elamur.ai/free/en/papers/raphalen-2022-you-might-think-about-slightly/)

[← prev](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/2/) **3** [4](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/4/) [5](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/5/) [next →](https://md.research.elamur.ai/free/en/authors/benoit-steiner/cited-by/page/4/)

- [← back to](https://md.research.elamur.ai/free/en/authors/benoit-steiner/) — Benoit Steiner