---
title: "Computer Science — papers, page 52 — Elamur Research"
description: "Computer Science: 9,085 papers of the Elamur Research library · page 52 of 92 · 5026–5125, the most cited first — our summary of each, its…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/page/52/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/page/52/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) / page 52

# 🖥️ Computer Science

9,085 papers · page 52 of 92 · 5026–5125 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial intelligence, language technology, vision, systems, networks, software and the theory of computing.

## Papers (9,085)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/51/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [50](https://md.research.elamur.ai/free/en/shelves/computer-science/page/50/) [51](https://md.research.elamur.ai/free/en/shelves/computer-science/page/51/) **52** [53](https://md.research.elamur.ai/free/en/shelves/computer-science/page/53/) … [60](https://md.research.elamur.ai/free/en/shelves/computer-science/page/60/) … [92](https://md.research.elamur.ai/free/en/shelves/computer-science/page/92/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/page/53/)

5026. [**The SIGMORPHON 2022 Shared Task on Morpheme Segmentation**Khuyagbaatar Batsuren, Gabor Bella, Aryaman Arora*2022 · 71 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-morpheme-segmentation/)
5027. [**CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark**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/)
5028. [**They, Them, Theirs: Rewriting with Gender-Neutral English**Tony Sun, Kellie Webster, Apu Shah, et al.*2021 · 71 citations*](https://md.research.elamur.ai/free/en/papers/sun-2021-they-them-theirs-rewriting-gender/)
5029. [**Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle***Yang Trista Cao, Hal Daumé III*2021 · 71 citations*](https://md.research.elamur.ai/free/en/papers/cao-2021-gender-inclusive-coreference-resolution-analysis/)
5030. [**Arabic Text Diacritization Using Deep Neural Networks**Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh, et al.*2019 · 71 citations*](https://md.research.elamur.ai/free/en/papers/fadel-2019-arabic-text-diacritization-using-deep/)
5031. [**A Neural Architecture for Dialectal Arabic Segmentation**Younes Samih, Mohammed Attia, Mohamed Eldesouki, et al.*2017 · 71 citations*](https://md.research.elamur.ai/free/en/papers/samih-2017-neural-architecture-dialectal-arabic-segmentation/)
5032. [**Integer Linear Programming for Discourse Parsing**Jérémy Perret, Stergos Afantenos, Nicholas Asher, et al.*2016 · 71 citations*](https://md.research.elamur.ai/free/en/papers/perret-2016-integer-linear-programming-discourse-parsing/)
5033. [**Generating Entailment Rules from FrameNet**Roni Ben Aharon, Idan Szpektor, Ido Dagan*2010 · 71 citations*](https://md.research.elamur.ai/free/en/papers/aharon-2010-generating-entailment-rules-framenet/)
5034. [**A General-Purpose, Off-the-shelf Anaphora Resolution Module: Implementation and Preliminary Evaluation**Massimo Poesio, Mijail A. Kabadjov*2004 · 71 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2004-general-purpose-off-shelf-anaphora/)
5035. [**VoiceBench: Benchmarking LLM-Based Voice Assistants**Yiming Chen, Xianghu Yue, Chen Zhang, et al.*2026 · 70 citations*](https://md.research.elamur.ai/free/en/papers/chen-2026-voicebench-benchmarking-llm-based-voice/)
5036. [**WebWalker: Benchmarking LLMs in Web Traversal**Jialong Wu, Wenbiao Yin, Yong Jiang, et al.*2025 · 70 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-webwalker-benchmarking-llms-web-traversal/)
5037. [**Aligning Large and Small Language Models via Chain-of-Thought Reasoning**Leonardo Ranaldi, Andre Freitas*2024 · 70 citations*](https://md.research.elamur.ai/free/en/papers/ranaldi-2024-aligning-large-small-language-models/)
5038. [**BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval**Hongjin Su, Howard Yen, Mengzhou Xia, et al.*2024 · 70 citations*](https://md.research.elamur.ai/free/en/papers/su-2024-bright-realistic-challenging-benchmark-reasoning/)
5039. [**MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning**Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.*2024 · 70 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-mediq-question-asking-llms-benchmark/)
5040. [**Interpretability at Scale: Identifying Causal Mechanisms in Alpaca**Zhengxuan Wu, Atticus Geiger, Thomas Icard, et al.*2023 · 70 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-interpretability-scale-identifying-causal-mechanisms/)
5041. [**POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection**Yujian Liu, Xinliang Frederick Zhang, David Wegsman, et al.*2022 · 70 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-politics-pretraining-same-story-article/)
5042. [**StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts**Zhengxiang Shi, Qiang Zhang, Aldo Lipani*2022 · 70 citations*](https://md.research.elamur.ai/free/en/papers/shi-2022-stepgame-new-benchmark-robust-multi/)
5043. [**"I'd rather just go to bed": Understanding Indirect Answers**Annie Louis, Dan Roth, Filip Radlinski*2020 · 70 citations*](https://md.research.elamur.ai/free/en/papers/louis-2020-i-d-rather-just-go/)
5044. [**English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too**Jason Phang, Iacer Calixto, Phu Mon Htut, et al.*2020 · 70 citations*](https://md.research.elamur.ai/free/en/papers/phang-2020-english-intermediate-task-training-improves/)
5045. [**Towards Robustifying NLI Models Against Lexical Dataset Biases**Xiang Zhou, Mohit Bansal*2020 · 70 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2020-robustifying-nli-models-against-lexical/)
5046. [**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/)
5047. [**An Open-Source Package for Recognizing Textual Entailment**Milen Kouylekov, Matteo Negri*2010 · 70 citations*](https://md.research.elamur.ai/free/en/papers/kouylekov-2010-open-source-package-recognizing-textual/)
5048. [**Coreference Resolution Using Semantic Relatedness Information from Automatically Discovered Patterns**Xiaofeng Yang, Jian Su*2007 · 70 citations*](https://md.research.elamur.ai/free/en/papers/yang-2007-coreference-resolution-semantic-relatedness-information/)
5049. [**Using the Web in Machine Learning for Other-Anaphora Resolution**Natalia N. Modjeska, Katja Markert, Malvina Nissim*2003 · 70 citations*](https://md.research.elamur.ai/free/en/papers/modjeska-2003-web-machine-learning-other-anaphora/)
5050. [**A Unified Theory of Irony and Its Computational Formalization**Akira Utsumi*1996 · 70 citations*](https://md.research.elamur.ai/free/en/papers/utsumi-1996-unified-theory-irony-its-computational/)
5051. [**IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models**David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, et al.*2025 · 69 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2025-irokobench-new-benchmark-african-languages/)
5052. [**HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM**Zhilin Wang, Yi Dong, Jiaqi Zeng, et al.*2024 · 69 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-helpsteer-multi-attribute-helpfulness-dataset/)
5053. [**Mission: Impossible Language Models**Julie Kallini, Isabel Papadimitriou, Richard Futrell, et al.*2024 · 69 citations*](https://md.research.elamur.ai/free/en/papers/kallini-2024-mission-impossible-language-models/)
5054. [**Seed-TTS: A Family of High-Quality Versatile Speech Generation Models**Philip Anastassiou, Jiawei Chen, Jitong Chen, et al.*2024 · 69 citations*](https://md.research.elamur.ai/free/en/papers/anastassiou-2024-seed-tts-family-high/)
5055. [**The Unreasonable Ineffectiveness of the Deeper Layers**Andrey Gromov, Kushal Tirumala, Hassan Shapourian, et al.*2024 · 69 citations*](https://md.research.elamur.ai/free/en/papers/gromov-2024-unreasonable-ineffectiveness-deeper-layers/)
5056. [**VeriScore: Evaluating the factuality of verifiable claims in long-form text generation**Yixiao Song, Yekyung Kim, Mohit Iyyer*2024 · 69 citations*](https://md.research.elamur.ai/free/en/papers/song-2024-veriscore-evaluating-factuality-verifiable-claims/)
5057. [**Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?**Rishav Hada, Varun Gumma, Adrian de Wynter, et al.*2023 · 69 citations*](https://md.research.elamur.ai/free/en/papers/hada-2023-large-language-model-based-evaluators/)
5058. [**Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance**Yao Fu, Litu Ou, Mingyu Chen, et al.*2023 · 69 citations*](https://md.research.elamur.ai/free/en/papers/fu-2023-chain-thought-hub-continuous-effort/)
5059. [**Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models**Sheng Shen, Le Hou, Yanqi Zhou, et al.*2023 · 69 citations*](https://md.research.elamur.ai/free/en/papers/shen-2023-mixture-experts-meets-instruction-tuning/)
5060. [**A Rate–Distortion view of human pragmatic reasoning?**Noga Zaslavsky, Jennifer Hu, Roger P. Levy*2021 · 69 citations*](https://md.research.elamur.ai/free/en/papers/zaslavsky-2021-rate-distortion-view-human-pragmatic/)
5061. [**It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning**Alexey Tikhonov, Max Ryabinin*2021 · 69 citations*](https://md.research.elamur.ai/free/en/papers/tikhonov-2021-it-s-all-heads-attention/)
5062. [**Implicit Discourse Relation Classification: We Need to Talk about Evaluation**Najoung Kim, Song Feng, Chulaka Gunasekara, et al.*2020 · 69 citations*](https://md.research.elamur.ai/free/en/papers/kim-2020-implicit-discourse-relation-classification-we/)
5063. [**Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures**Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou*2019 · 69 citations*](https://md.research.elamur.ai/free/en/papers/veyseh-2019-graph-based-neural-networks-event/)
5064. [**Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study**Jihen Karoui, Farah Benamara, Véronique Moriceau, et al.*2017 · 69 citations*](https://md.research.elamur.ai/free/en/papers/karoui-2017-exploring-impact-pragmatic-phenomena-irony/)
5065. [**Findings of the WMT 2017 Biomedical Translation Shared Task**Antonio Jimeno Yepes, Aurélie Névéol, Mariana Neves, et al.*2017 · 69 citations*](https://md.research.elamur.ai/free/en/papers/yepes-2017-findings-wmt-2017-biomedical-translation/)
5066. [**rstWeb - A Browser-based Annotation Interface for Rhetorical Structure Theory and Discourse Relations**Amir Zeldes*2016 · 69 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2016-rstweb-browser-based-annotation-interface/)
5067. [**Context-aware Frame-Semantic Role Labeling**Michael Roth, Mirella Lapata*2015 · 69 citations*](https://md.research.elamur.ai/free/en/papers/roth-2015-context-aware-frame-semantic-role/)
5068. [**Annotating the meaning of discourse connectives by looking at their translation: The translation-spotting technique**Bruno Cartoni, Sandrine Zufferey, Thomas Meyer*2013 · 69 citations*](https://md.research.elamur.ai/free/en/papers/cartoni-2013-annotating-meaning-discourse-connectives-looking/)
5069. [**PLCFRS Parsing of English Discontinuous Constituents**Kilian Evang, Laura Kallmeyer*2011 · 69 citations*](https://md.research.elamur.ai/free/en/papers/evang-2011-plcfrs-parsing-english-discontinuous-constituents/)
5070. [**Multiword Expressions in the wild? The mwetoolkit comes in handy**Carlos Ramisch, Aline Villavicencio, Christian Boitet*2010 · 69 citations*](https://md.research.elamur.ai/free/en/papers/ramisch-2010-multiword-expressions-wild-mwetoolkit-comes/)
5071. [**Turbo Parsers: Dependency Parsing by Approximate Variational Inference**André Martins, Noah Smith, Eric Xing, et al.*2010 · 69 citations*](https://md.research.elamur.ai/free/en/papers/martins-2010-turbo-parsers-dependency-parsing-approximate/)
5072. [**AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs**Basel Mousi, Nadir Durrani, Fatema Ahmad, et al.*2025 · 68 citations*](https://md.research.elamur.ai/free/en/papers/mousi-2025-aradice-benchmarks-dialectal-cultural-capabilities/)
5073. [**Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting**Tilman Beck, Hendrik Schuff, Anne Lauscher, et al.*2024 · 68 citations*](https://md.research.elamur.ai/free/en/papers/beck-2024-sensitivity-performance-robustness-deconstructing-effect/)
5074. [**CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation**Pei Ke, Bosi Wen, Zhuoer Feng, et al.*2023 · 68 citations*](https://md.research.elamur.ai/free/en/papers/ke-2023-critiquellm-informative-critique-generation/)
5075. [**Phoenix: Democratizing ChatGPT across Languages**Zhihong Chen, Feng Jiang, Junying Chen, et al.*2023 · 68 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-phoenix-democratizing-chatgpt-across-languages/)
5076. [**ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness**Archiki Prasad, Swarnadeep Saha, Xiang Zhou, et al.*2023 · 68 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2023-receval-evaluating-reasoning-chains-correctness/)
5077. [**Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric**Giorgos Vernikos, Brian Thompson, Prashant Mathur, et al.*2022 · 68 citations*](https://md.research.elamur.ai/free/en/papers/vernikos-2022-embarrassingly-easy-document-level-mt/)
5078. [**IMPLI: Investigating NLI Models' Performance on Figurative Language**Kevin Stowe, Prasetya Utama, Iryna Gurevych*2022 · 68 citations*](https://md.research.elamur.ai/free/en/papers/stowe-2022-impli-investigating-nli-models-performance/)
5079. [**HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition**Avihay Chriqui, Inbal Yahav*2021 · 68 citations*](https://md.research.elamur.ai/free/en/papers/chriqui-2021-hebert-hebemo-hebrew-bert-model/)
5080. [**Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives**Yudai Kishimoto, Yugo Murawaki, Sadao Kurohashi*2020 · 68 citations*](https://md.research.elamur.ai/free/en/papers/kishimoto-2020-adapting-bert-implicit-discourse-relation/)
5081. [**Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition**Man Lan, Yu Xu, Zhengyu Niu*2013 · 68 citations*](https://md.research.elamur.ai/free/en/papers/lan-2013-leveraging-synthetic-discourse-data-multi/)
5082. [**Readability Assessment for Text Simplification**Sandra Aluisio, Lucia Specia, Caroline Gasperin, et al.*2010 · 68 citations*](https://md.research.elamur.ai/free/en/papers/aluisio-2010-readability-assessment-text-simplification/)
5083. [**FLSA: Extending Latent Semantic Analysis with Features for Dialogue Act Classification**Riccardo Serafin, Barbara Di Eugenio*2004 · 68 citations*](https://md.research.elamur.ai/free/en/papers/serafin-2004-flsa-extending-latent-semantic-analysis/)
5084. [**Apertus: Democratizing Open and Compliant LLMs for Global Language Environments**Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.*2026 · 67 citations*](https://md.research.elamur.ai/free/en/papers/cano-2026-apertus-democratizing-open-compliant-llms/)
5085. [**Kimi-VL Technical Report**Kimi Team, Angang Du, Bohong Yin, et al.*2025 · 67 citations*](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-vl-technical-report/)
5086. [**MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL**Bing Wang, Changyu Ren, Jian Yang, et al.*2025 · 67 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-mac-sql-multi-agent-collaborative/)
5087. [**ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities**Jiarui Lu, Thomas Holleis, Yizhe Zhang, et al.*2025 · 67 citations*](https://md.research.elamur.ai/free/en/papers/lu-2025-toolsandbox-stateful-conversational-interactive-evaluation/)
5088. [**xLAM: A Family of Large Action Models to Empower AI Agent Systems**Jianguo Zhang, Tian Lan, Ming Zhu, et al.*2025 · 67 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-xlam-family-large-action-models/)
5089. [**Language Models as Inductive Reasoners**Zonglin Yang, Li Dong, Xinya Du, et al.*2024 · 67 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-language-models-as-inductive-reasoners/)
5090. [**Contrastive Decoding Improves Reasoning in Large Language Models**Sean O'Brien, Mike Lewis*2023 · 67 citations*](https://md.research.elamur.ai/free/en/papers/o-brien-2023-contrastive-decoding-improves-reasoning-large/)
5091. [**CREPE: Open-Domain Question Answering with False Presuppositions**Xinyan Yu, Sewon Min, Luke Zettlemoyer, et al.*2023 · 67 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-crepe-open-domain-question-answering/)
5092. [**FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models**Shramay Palta, Rachel Rudinger*2023 · 67 citations*](https://md.research.elamur.ai/free/en/papers/palta-2023-fork-bite-sized-test-set/)
5093. [**NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task**Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, et al.*2021 · 67 citations*](https://md.research.elamur.ai/free/en/papers/mageed-2021-nadi-2021-second-nuanced-arabic/)
5094. [**Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training**Joe Stacey, Pasquale Minervini, Haim Dubossarsky, et al.*2020 · 67 citations*](https://md.research.elamur.ai/free/en/papers/stacey-2020-avoiding-hypothesis-only-bias-natural/)
5095. [**A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context**Takuma Udagawa, Akiko Aizawa*2019 · 67 citations*](https://md.research.elamur.ai/free/en/papers/udagawa-2019-natural-language-corpus-common-grounding/)
5096. [**Deep Reinforcement Learning for Chinese Zero Pronoun Resolution**Qingyu Yin, Yu Zhang, Wei-Nan Zhang, et al.*2018 · 67 citations*](https://md.research.elamur.ai/free/en/papers/yin-2018-deep-reinforcement-learning-chinese-zero/)
5097. [**Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions**Marcin Junczys-Dowmunt, Tomasz Dwojak, Hieu Hoang*2016 · 67 citations*](https://md.research.elamur.ai/free/en/papers/dowmunt-2016-is-neural-machine-translation-ready/)
5098. [**Multi-view and multi-task training of RST discourse parsers**Chloé Braud, Barbara Plank, Anders Søgaard*2016 · 67 citations*](https://md.research.elamur.ai/free/en/papers/braud-2016-multi-view-multi-task-training/)
5099. [**A Typology of Near-Identity Relations for Coreference (NIDENT)**Marta Recasens, Eduard Hovy, M. Antònia Martí*2010 · 67 citations*](https://md.research.elamur.ai/free/en/papers/recasens-2010-typology-near-identity-relations-coreference/)
5100. [**Improving Arabic Dependency Parsing with Lexical and Inflectional Morphological Features**Yuval Marton, Nizar Habash, Owen Rambow*2010 · 67 citations*](https://md.research.elamur.ai/free/en/papers/marton-2010-improving-arabic-dependency-parsing-lexical/)
5101. [**Streaming Cross Document Entity Coreference Resolution**Delip Rao, Paul McNamee, Mark Dredze*2010 · 67 citations*](https://md.research.elamur.ai/free/en/papers/rao-2010-streaming-cross-document-entity-coreference/)
5102. [**Integrated Morphological and Syntactic Disambiguation for Modern Hebrew**Reut Tsarfaty*2006 · 67 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2006-integrated-morphological-syntactic-disambiguation-modern/)
5103. [**Using Semantic Relations to Refine Coreference Decisions**Heng Ji, David Westbrook, Ralph Grishman*2005 · 67 citations*](https://md.research.elamur.ai/free/en/papers/ji-2005-semantic-relations-refine-coreference-decisions/)
5104. [**Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph**Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev, et al.*2025 · 66 citations*](https://md.research.elamur.ai/free/en/papers/vashurin-2025-benchmarking-uncertainty-quantification-methods-large/)
5105. [**Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards**Haoxiang Wang, Yong Lin, Wei Xiong, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-arithmetic-control-llms-diverse-user/)
5106. [**Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models**Alfonso Amayuelas, Kyle Wong, Liangming Pan, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/amayuelas-2024-knowledge-knowledge-exploring-known-unknowns/)
5107. [**MagicPIG: LSH Sampling for Efficient LLM Generation**Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-magicpig-lsh-sampling-efficient-llm/)
5108. [**Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue**Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/gu-2024-model-editing-harms-general-abilities/)
5109. [**MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models**Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/kwan-2024-mt-eval-multi-turn-capabilities/)
5110. [**OffsetBias: Leveraging Debiased Data for Tuning Evaluators**Junsoo Park, Seungyeon Jwa, Ren Meiying, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/park-2024-offsetbias-leveraging-debiased-data-tuning/)
5111. [**Tokenization Is More Than Compression**Craig W Schmidt, Varshini Reddy, Haoran Zhang, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/schmidt-2024-tokenization-is-more-than-compression/)
5112. [**CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?**Tianwen Wei, Jian Luan, Wei Liu, et al.*2023 · 66 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-cmath-language-model-pass/)
5113. [**Dynamic Routing Transformer Network for Multimodal Sarcasm Detection**Yuan Tian, Nan Xu, Ruike Zhang, et al.*2023 · 66 citations*](https://md.research.elamur.ai/free/en/papers/tian-2023-dynamic-routing-transformer-network-multimodal/)
5114. [**NormBank: A Knowledge Bank of Situational Social Norms**Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang, et al.*2023 · 66 citations*](https://md.research.elamur.ai/free/en/papers/ziems-2023-normbank-knowledge-bank-situational-social/)
5115. [**Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning**Ted Zadouri, Ahmet Ustun, Arash Ahmadian, et al.*2023 · 66 citations*](https://md.research.elamur.ai/free/en/papers/zadouri-2023-pushing-mixture-experts-limit-extremely/)
5116. [**Evaluating Various Tokenizers for Arabic Text Classification**Zaid Alyafeai, Maged S. Al-shaibani, Mustafa Ghaleb, et al.*2021 · 66 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2021-evaluating-various-tokenizers-arabic-text/)
5117. [**Multi-Domain Dialogue Acts and Response Co-Generation**Kai Wang, Junfeng Tian, Rui Wang, et al.*2020 · 66 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-multi-domain-dialogue-acts-response/)
5118. [**Multi-Relational Script Learning for Discourse Relations**I-Ta Lee, Dan Goldwasser*2019 · 66 citations*](https://md.research.elamur.ai/free/en/papers/lee-2019-multi-relational-script-learning-discourse/)
5119. [**Constructing a Lexicon of English Discourse Connectives**Debopam Das, Tatjana Scheffler, Peter Bourgonje, et al.*2018 · 66 citations*](https://md.research.elamur.ai/free/en/papers/das-2018-constructing-lexicon-english-discourse-connectives/)
5120. [**Findings of the WMT 2018 Shared Task on Automatic Post-Editing**Rajen Chatterjee, Matteo Negri, Raphael Rubino, et al.*2018 · 66 citations*](https://md.research.elamur.ai/free/en/papers/chatterjee-2018-findings-wmt-2018-shared-task/)
5121. [**Multi-task dialog act and sentiment recognition on Mastodon**Christophe Cerisara, Somayeh Jafaritazehjani, Adedayo Oluokun, et al.*2018 · 66 citations*](https://md.research.elamur.ai/free/en/papers/cerisara-2018-multi-task-dialog-act-sentiment/)
5122. [**A Graph-based Lattice Dependency Parser for Joint Morphological Segmentation and Syntactic Analysis**Wolfgang Seeker, Özlem Çetinoğlu*2015 · 66 citations*](https://md.research.elamur.ai/free/en/papers/seeker-2015-graph-based-lattice-dependency-parser/)
5123. [**Statistical Anaphora Resolution in Biomedical Texts**Caroline Gasperin, Ted Briscoe*2008 · 66 citations*](https://md.research.elamur.ai/free/en/papers/gasperin-2008-statistical-anaphora-resolution-biomedical-texts/)
5124. [**Combining Sample Selection and Error-Driven Pruning for Machine Learning of Coreference Rules**Vincent Ng, Claire Cardie*2002 · 66 citations*](https://md.research.elamur.ai/free/en/papers/ng-2002-combining-sample-selection-error-driven/)
5125. [**GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot**Aohan Zeng, Zhengxiao Du, Mingdao Liu, et al.*2024 · 65 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-glm-4-voice-intelligent/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/51/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [50](https://md.research.elamur.ai/free/en/shelves/computer-science/page/50/) [51](https://md.research.elamur.ai/free/en/shelves/computer-science/page/51/) **52** [53](https://md.research.elamur.ai/free/en/shelves/computer-science/page/53/) … [60](https://md.research.elamur.ai/free/en/shelves/computer-science/page/60/) … [92](https://md.research.elamur.ai/free/en/shelves/computer-science/page/92/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/page/53/)