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title: "Computer Science — papers, page 49 — Elamur Research"
description: "Computer Science: 9,085 papers of the Elamur Research library · page 49 of 92 · 4726–4825, the most cited first — our summary of each, its…"
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# 🖥️ Computer Science

9,085 papers · page 49 of 92 · 4726–4825 · 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)

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4726. [**A Long Way to Go: Investigating Length Correlations in RLHF**Prasann Singhal, Tanya Goyal, Jiacheng Xu, et al.*2023 · 88 citations*](https://md.research.elamur.ai/free/en/papers/singhal-2023-long-way-go-investigating-length/)
4727. [**Learning to Filter Context for Retrieval-Augmented Generation**Zhiruo Wang, Jun Araki, Zhengbao Jiang, et al.*2023 · 88 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-learning-filter-context-retrieval-augmented/)
4728. [**NLPositionality: Characterizing Design Biases of Datasets and Models**Sebastin Santy, Jenny Liang, Ronan Le Bras, et al.*2023 · 88 citations*](https://md.research.elamur.ai/free/en/papers/santy-2023-nlpositionality-characterizing-design-biases-datasets/)
4729. [**On the Tool Manipulation Capability of Open-source Large Language Models**Qiantong Xu, Fenglu Hong, Bo Li, et al.*2023 · 88 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-tool-manipulation-capability-open-source/)
4730. [**VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling**Andrea Di Fabio, Simone Conia, Roberto Navigli*2019 · 88 citations*](https://md.research.elamur.ai/free/en/papers/fabio-2019-verbatlas-novel-large-scale-verbal/)
4731. [**WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference**Peter Jansen, Elizabeth Wainwright, Steven Marmorstein, et al.*2018 · 88 citations*](https://md.research.elamur.ai/free/en/papers/jansen-2018-worldtree-corpus-explanation-graphs-elementary/)
4732. [**Frame-Semantic Role Labeling with Heterogeneous Annotations**Meghana Kshirsagar, Sam Thomson, Nathan Schneider, et al.*2015 · 88 citations*](https://md.research.elamur.ai/free/en/papers/kshirsagar-2015-frame-semantic-role-labeling-heterogeneous/)
4733. [**Reifying RDF: What Works Well With Wikidata?**Daniel Hernández, Aidan Hogan, Markus Krötzsch*2015 · 88 citations*](https://md.research.elamur.ai/free/en/papers/hernandez-2015-reifying-rdf-what-works-well/)
4734. [**Epistemic modals and context: Experimental data**Joshua Knobe, Seth Yalcin*2014 · 88 citations*](https://md.research.elamur.ai/free/en/papers/knobe-2014-epistemic-modals-context-experimental-data/)
4735. [**Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves**Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld, et al.*2013 · 88 citations*](https://md.research.elamur.ai/free/en/papers/hajishirzi-2013-joint-coreference-resolution-named-entity/)
4736. [**A Pairwise Event Coreference Model, Feature Impact and Evaluation for Event Coreference Resolution**Zheng Chen, Heng Ji, Robert Haralick*2009 · 88 citations*](https://md.research.elamur.ai/free/en/papers/chen-2009-pairwise-event-coreference-model-feature/)
4737. [**The Hindi Discourse Relation Bank**Umangi Oza, Rashmi Prasad, Sudheer Kolachina, et al.*2009 · 88 citations*](https://md.research.elamur.ai/free/en/papers/oza-2009-hindi-discourse-relation-bank/)
4738. [**Automatic induction of FrameNet lexical units**Marco Pennacchiotti, Diego De Cao, Roberto Basili, et al.*2008 · 88 citations*](https://md.research.elamur.ai/free/en/papers/pennacchiotti-2008-automatic-induction-framenet-lexical-units/)
4739. [**Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models**Miaoran Li, Baolin Peng, Michel Galley, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-self-checker-plug-play-modules/)
4740. [**A Survey of Large Language Models in Medicine: Progress, Application, and Challenge**Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.*2023 · 87 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-survey-large-language-models-medicine/)
4741. [**Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey**Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.*2023 · 87 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2023-language-generation-models-can-cause/)
4742. [**RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs**Afra Feyza Akyurek, Ekin Akyurek, Ashwin Kalyan, et al.*2023 · 87 citations*](https://md.research.elamur.ai/free/en/papers/akyurek-2023-rl4f-generating-natural-language-feedback/)
4743. [**First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT**Benjamin Muller, Yanai Elazar, Benoît Sagot, et al.*2021 · 87 citations*](https://md.research.elamur.ai/free/en/papers/muller-2021-first-align-then-predict-understanding/)
4744. [**A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation**Massimo Poesio, Jon Chamberlain, Silviu Paun, et al.*2019 · 87 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2019-crowdsourced-corpus-multiple-judgments-disagreement/)
4745. [**GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue**Jun Quan, Deyi Xiong, Bonnie Webber, et al.*2019 · 87 citations*](https://md.research.elamur.ai/free/en/papers/quan-2019-gecor-end-end-generative-ellipsis/)
4746. [**Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization**Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup*2018 · 87 citations*](https://md.research.elamur.ai/free/en/papers/dean-2018-resolving-event-coreference-supervised-representation/)
4747. [**Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding**Yutai Hou, Yijia Liu, Wanxiang Che, et al.*2018 · 87 citations*](https://md.research.elamur.ai/free/en/papers/hou-2018-sequence-sequence-data-augmentation-dialogue/)
4748. [**A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling**Diego Marcheggiani, Anton Frolov, Ivan Titov*2017 · 87 citations*](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-simple-accurate-syntax-agnostic-neural/)
4749. [**Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 87 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-harnessing-sequence-labeling-sarcasm-detection/)
4750. [**Interpreting Neural Networks to Improve Politeness Comprehension**Malika Aubakirova, Mohit Bansal*2016 · 87 citations*](https://md.research.elamur.ai/free/en/papers/aubakirova-2016-interpreting-neural-networks-improve-politeness/)
4751. [**Multidimensional quality metrics: a flexible system for assessing translation quality**Arle Richard Lommel, Aljoscha Burchardt, Hans Uszkoreit*2013 · 87 citations*](https://md.research.elamur.ai/free/en/papers/lommel-2013-multidimensional-quality-metrics-flexible-system/)
4752. [**Evaluation Metrics For End-to-End Coreference Resolution Systems**Jie Cai, Michael Strube*2010 · 87 citations*](https://md.research.elamur.ai/free/en/papers/cai-2010-evaluation-metrics-end-end-coreference/)
4753. [**Error Analysis of Statistical Machine Translation Output**David Vilar, Jia Xu, Luis Fernando D'Haro, et al.*2006 · 87 citations*](https://md.research.elamur.ai/free/en/papers/vilar-2006-error-analysis-statistical-machine-translation/)
4754. [**Maximum Entropy Models for FrameNet Classification**Michael Fleischman, Namhee Kwon, Eduard Hovy*2003 · 87 citations*](https://md.research.elamur.ai/free/en/papers/fleischman-2003-maximum-entropy-models-framenet-classification/)
4755. [**Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment**Keming Lu, Bowen Yu, Chang Zhou, et al.*2024 · 86 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-large-language-models-are-superpositions/)
4756. [**LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models**Adian Liusie, Potsawee Manakul, Mark Gales*2024 · 86 citations*](https://md.research.elamur.ai/free/en/papers/liusie-2024-llm-comparative-assessment-zero-shot/)
4757. [**Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models**Wenhao Shi, Zhiqiang Hu, Yi Bin, et al.*2024 · 86 citations*](https://md.research.elamur.ai/free/en/papers/shi-2024-math-llava-bootstrapping-mathematical-reasoning/)
4758. [**Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement**Wenda Xu, Guanglei Zhu, Xuandong Zhao, et al.*2024 · 86 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-pride-prejudice-llm-amplifies-self/)
4759. [**The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts**Lingfeng Shen, Weiting Tan, Sihao Chen, et al.*2024 · 86 citations*](https://md.research.elamur.ai/free/en/papers/shen-2024-language-barrier-dissecting-safety-challenges/)
4760. [**A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics**Kai He, Rui Mao, Qika Lin, et al.*2023 · 86 citations*](https://md.research.elamur.ai/free/en/papers/he-2023-survey-large-language-models-healthcare/)
4761. [**PromptNER: Prompting For Named Entity Recognition**Dhananjay Ashok, Zachary C. Lipton*2023 · 86 citations*](https://md.research.elamur.ai/free/en/papers/ashok-2023-promptner-prompting-named-entity-recognition/)
4762. [**Universal Self-Consistency for Large Language Model Generation**Xinyun Chen, Renat Aksitov, Uri Alon, et al.*2023 · 86 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-universal-self-consistency-large-language/)
4763. [**The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs**Laura Ruis, Akbir Khan, Stella Biderman, et al.*2022 · 86 citations*](https://md.research.elamur.ai/free/en/papers/ruis-2022-goldilocks-pragmatic-understanding-fine-tuning/)
4764. [**AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models**Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, et al.*2021 · 86 citations*](https://md.research.elamur.ai/free/en/papers/madabushi-2021-astitchinlanguagemodels-dataset-methods-exploration-idiomaticity/)
4765. [**Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI**Jidong Tian, Yitian Li, Wenqing Chen, et al.*2021 · 86 citations*](https://md.research.elamur.ai/free/en/papers/tian-2021-diagnosing-first-order-logical-reasoning/)
4766. [**How to Adapt Your Pretrained Multilingual Model to 1600 Languages**Abteen Ebrahimi, Katharina Kann*2021 · 86 citations*](https://md.research.elamur.ai/free/en/papers/ebrahimi-2021-how-adapt-your-pretrained-multilingual/)
4767. [**Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning**Lianhui Qin, Vered Shwartz, Peter West, et al.*2020 · 86 citations*](https://md.research.elamur.ai/free/en/papers/qin-2020-back-future-unsupervised-backprop-based/)
4768. [**Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It**Danielle Saunders, Rosie Sallis, Bill Byrne*2020 · 86 citations*](https://md.research.elamur.ai/free/en/papers/saunders-2020-neural-machine-translation-doesn-t/)
4769. [**R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge**Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, et al.*2020 · 86 citations*](https://md.research.elamur.ai/free/en/papers/chakrabarty-2020-r-textasciicircum3-reverse-retrieve-rank/)
4770. [**The First Multilingual Surface Realisation Shared Task (SR'18): Overview and Evaluation Results**Simon Mille, Anja Belz, Bernd Bohnet, et al.*2018 · 86 citations*](https://md.research.elamur.ai/free/en/papers/mille-2018-first-multilingual-surface-realisation-shared/)
4771. [**Validation of an Automatic Metric for the Accuracy of Pronoun Translation (APT)**Lesly Miculicich Werlen, Andrei Popescu-Belis*2017 · 86 citations*](https://md.research.elamur.ai/free/en/papers/werlen-2017-validation-automatic-metric-accuracy-pronoun/)
4772. [**Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing**Marcin Junczys-Dowmunt, Roman Grundkiewicz*2016 · 86 citations*](https://md.research.elamur.ai/free/en/papers/dowmunt-2016-log-linear-combinations-monolingual-bilingual/)
4773. [**PropBank: Semantics of New Predicate Types**Claire Bonial, Julia Bonn, Kathryn Conger, et al.*2014 · 86 citations*](https://md.research.elamur.ai/free/en/papers/bonial-2014-propbank-semantics-new-predicate-types/)
4774. [**Building Large Corpora from the Web Using a New Efficient Tool Chain**Roland Schäfer, Felix Bildhauer*2012 · 86 citations*](https://md.research.elamur.ai/free/en/papers/schafer-2012-building-large-corpora-web-new/)
4775. [**Creating Speech and Language Data With Amazon's Mechanical Turk**Chris Callison-Burch, Mark Dredze*2010 · 86 citations*](https://md.research.elamur.ai/free/en/papers/burch-2010-creating-speech-language-data-amazon/)
4776. [**Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions**Michael Heilman, Noah A. Smith*2010 · 86 citations*](https://md.research.elamur.ai/free/en/papers/heilman-2010-tree-edit-models-recognizing-textual/)
4777. [**Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora**Daniel Ramage, David Hall, Ramesh Nallapati, et al.*2009 · 86 citations*](https://md.research.elamur.ai/free/en/papers/ramage-2009-labeled-lda-supervised-topic-model/)
4778. [**Unbounded Dependency Recovery for Parser Evaluation**Laura Rimell, Stephen Clark, Mark Steedman*2009 · 86 citations*](https://md.research.elamur.ai/free/en/papers/rimell-2009-unbounded-dependency-recovery-parser-evaluation/)
4779. [**Annotation of Information Structure: an Evaluation across different Types of Texts**Julia Ritz, Stefanie Dipper, Michael Götze*2008 · 86 citations*](https://md.research.elamur.ai/free/en/papers/ritz-2008-annotation-information-structure-evaluation-across/)
4780. [**An Empirical Approach to VP Ellipsis**Daniel Hardt*1997 · 86 citations*](https://md.research.elamur.ai/free/en/papers/hardt-1997-empirical-approach-vp-ellipsis/)
4781. [**A Survey on Data Selection for Language Models**Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/albalak-2024-survey-data-selection-language-models/)
4782. [**ADaPT: As-Needed Decomposition and Planning with Language Models**Archiki Prasad, Alexander Koller, Mareike Hartmann, et al.*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2024-adapt-as-needed-decomposition-planning/)
4783. [**Benchmarking Vision Language Models for Cultural Understanding**Shravan Nayak, Kanishk Jain, Rabiul Awal, et al.*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/nayak-2024-benchmarking-vision-language-models-cultural/)
4784. [**BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer**Akari Asai, Sneha Kudugunta, Xinyan Yu, et al.*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/asai-2024-buffet-benchmarking-large-language-models/)
4785. [**FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models**Yuxin Jiang, Yufei Wang, Xingshan Zeng, et al.*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2024-followbench-multi-level-fine-grained/)
4786. [**Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment**Vyas Raina, Adian Liusie, Mark Gales*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/raina-2024-is-llm-as-judge-robust/)
4787. [**LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training**Tong Zhu, Xiaoye Qu, Daize Dong, et al.*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2024-llama-moe-building-mixture-experts/)
4788. [**LLMs cannot find reasoning errors, but can correct them given the error location**Gladys Tyen, Hassan Mansoor, Victor Carbune, et al.*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/tyen-2024-llms-cannot-find-reasoning-errors/)
4789. [**SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning**Bin Wang, Zhengyuan Liu, Xin Huang, et al.*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-seaeval-multilingual-foundation-models-cross/)
4790. [**When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages**Tyler A. Chang, Catherine Arnett, Zhuowen Tu, et al.*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/chang-2024-when-is-multilinguality-curse-language/)
4791. [**InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition**Pan Zhang, Xiaoyi Dong, Bin Wang, et al.*2023 · 85 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-internlm-xcomposer-vision-language/)
4792. [**Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM**Rachel Bawden, François Yvon*2023 · 85 citations*](https://md.research.elamur.ai/free/en/papers/bawden-2023-investigating-translation-performance-large-multilingual/)
4793. [**Multilingual Large Language Models Are Not (Yet) Code-Switchers**Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz, et al.*2023 · 85 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-multilingual-large-language-models-are/)
4794. [**NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation**Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.*2023 · 85 citations*](https://md.research.elamur.ai/free/en/papers/dhole-2023-nl-augmenter-framework-task-sensitive/)
4795. [**Solving Math Word Problems via Cooperative Reasoning induced Language Models**Xinyu Zhu, Junjie Wang, Lin Zhang, et al.*2023 · 85 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-solving-math-word-problems-cooperative/)
4796. [**BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation**Yuchen Jiang, Tianyu Liu, Shuming Ma, et al.*2022 · 85 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2022-blonde-automatic-evaluation-metric-document/)
4797. [**Finding Skill Neurons in Pre-trained Transformer-based Language Models**Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, et al.*2022 · 85 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-finding-skill-neurons-pre-trained/)
4798. [**Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task**Ricardo Rei, Ana C Farinha, Chrysoula Zerva, et al.*2021 · 85 citations*](https://md.research.elamur.ai/free/en/papers/rei-2021-are-references-really-needed-unbabel/)
4799. [**Trading Off Diversity and Quality in Natural Language Generation**Hugh Zhang, Daniel Duckworth, Daphne Ippolito, et al.*2021 · 85 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-trading-off-diversity-quality-natural/)
4800. [**Harnessing Cognitive Features for Sarcasm Detection**Abhijit Mishra, Diptesh Kanojia, Seema Nagar, et al.*2016 · 85 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2016-harnessing-cognitive-features-sarcasm-detection/)
4801. [**Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations**Gavin Abercrombie, Dirk Hovy*2016 · 85 citations*](https://md.research.elamur.ai/free/en/papers/abercrombie-2016-putting-sarcasm-detection-into-context/)
4802. [**Evaluation of Dependency Parsers on Unbounded Dependencies**Joakim Nivre, Laura Rimell, Ryan McDonald, et al.*2010 · 85 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2010-evaluation-dependency-parsers-unbounded-dependencies/)
4803. [**How to Train Long-Context Language Models (Effectively)**Tianyu Gao, Alexander Wettig, Howard Yen, et al.*2025 · 84 citations*](https://md.research.elamur.ai/free/en/papers/gao-2025-how-train-long-context-language/)
4804. [**Complex Claim Verification with Evidence Retrieved in the Wild**Jifan Chen, Grace Kim, Aniruddh Sriram, et al.*2024 · 84 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-complex-claim-verification-evidence-retrieved/)
4805. [**Detoxifying Large Language Models via Knowledge Editing**Mengru Wang, Ningyu Zhang, Ziwen Xu, et al.*2024 · 84 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-detoxifying-large-language-models-knowledge/)
4806. [**Evaluating Mathematical Reasoning Beyond Accuracy**Shijie Xia, Xuefeng Li, Yixin Liu, et al.*2024 · 84 citations*](https://md.research.elamur.ai/free/en/papers/xia-2024-evaluating-mathematical-reasoning-accuracy/)
4807. [**Machine Unlearning of Pre-trained Large Language Models**Jin Yao, Eli Chien, Minxin Du, et al.*2024 · 84 citations*](https://md.research.elamur.ai/free/en/papers/yao-2024-machine-unlearning-pre-trained-large/)
4808. [**Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation**Patrick Fernandes, Aman Madaan, Emmy Liu, et al.*2023 · 84 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2023-bridging-gap-survey-integrating-human/)
4809. [**DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering**Ella Neeman, Roee Aharoni, Or Honovich, et al.*2023 · 84 citations*](https://md.research.elamur.ai/free/en/papers/neeman-2023-disentqa-disentangling-parametric-contextual-knowledge/)
4810. [**Neuron-level Interpretation of Deep NLP Models: A Survey**Hassan Sajjad, Nadir Durrani, Fahim Dalvi*2022 · 84 citations*](https://md.research.elamur.ai/free/en/papers/sajjad-2022-neuron-level-interpretation-deep-nlp/)
4811. [**Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification**Libo Qin, Zhouyang Li, Wanxiang Che, et al.*2020 · 84 citations*](https://md.research.elamur.ai/free/en/papers/qin-2020-co-gat-co-interactive-graph/)
4812. [**Controlled Crowdsourcing for High-Quality QA-SRL Annotation**Paul Roit, Ayal Klein, Daniela Stepanov, et al.*2020 · 84 citations*](https://md.research.elamur.ai/free/en/papers/roit-2020-controlled-crowdsourcing-high-quality-qa/)
4813. [**Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering**Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, et al.*2018 · 84 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-coreference-resolution-deep-biaffine/)
4814. [**PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution**Hong Chen, Zhenhua Fan, Hao Lu, et al.*2018 · 84 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-preco-large-scale-dataset-preschool/)
4815. [**Neural Machine Translation with Supervised Attention**Lemao Liu, Masao Utiyama, Andrew Finch, et al.*2016 · 84 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-neural-machine-translation-supervised-attention/)
4816. [**A Context-Theoretic Framework for Compositionality in Distributional Semantics**Daoud Clarke*2012 · 84 citations*](https://md.research.elamur.ai/free/en/papers/clarke-2012-context-theoretic-framework-compositionality-distributional/)
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