---
title: "Artificial Intelligence — papers, page 28 — Elamur Research"
description: "Artificial Intelligence: 8,885 papers of the Elamur Research library · page 28 of 90 · 2626–2725, the most cited first — our summary of each…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/28/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/28/)

[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/) / [Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) / page 28

# 🤖 Artificial Intelligence

8,885 papers · page 28 of 90 · 2626–2725 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial Intelligence is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Speech and dialogue systems».

## Papers (8,885)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/27/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [20](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/20/) … [27](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/27/) **28** [29](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/29/) [30](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/30/) … [90](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/90/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/29/)

2626. [**Statistical Parsing with an Automatically-Extracted Tree Adjoining Grammar**David Chiang*2000 · 228 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2000-statistical-parsing-automatically-extracted-tree/)
2627. [**XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models**Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.*2023 · 227 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2023-xstest-test-suite-identifying-exaggerated/)
2628. [**DEGREE: A Data-Efficient Generation-Based Event Extraction Model**I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, et al.*2022 · 227 citations*](https://md.research.elamur.ai/free/en/papers/hsu-2022-degree-data-efficient-generation-based/)
2629. [**Learning to Deceive with Attention-Based Explanations**Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, et al.*2020 · 227 citations*](https://md.research.elamur.ai/free/en/papers/pruthi-2020-learning-deceive-attention-based-explanations/)
2630. [**Neural CRF Model for Sentence Alignment in Text Simplification**Chao Jiang, Mounica Maddela, Wuwei Lan, et al.*2020 · 227 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2020-neural-crf-model-sentence-alignment/)
2631. [**SParC: Cross-Domain Semantic Parsing in Context**Tao Yu, Rui Zhang, Michihiro Yasunaga, et al.*2019 · 227 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-sparc-cross-domain-semantic-parsing/)
2632. [**Findings of the Third Shared Task on Multimodal Machine Translation**Loïc Barrault, Fethi Bougares, Lucia Specia, et al.*2018 · 227 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2018-findings-third-shared-task-multimodal/)
2633. [**Interpretation of Natural Language Rules in Conversational Machine Reading**Marzieh Saeidi, Max Bartolo, Patrick Lewis, et al.*2018 · 227 citations*](https://md.research.elamur.ai/free/en/papers/saeidi-2018-interpretation-natural-language-rules-conversational/)
2634. [**The University of Edinburgh's Neural MT Systems for WMT17**Rico Sennrich, Alexandra Birch, Anna Currey, et al.*2017 · 227 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2017-university-edinburgh-s-neural-mt/)
2635. [**Sparse Overcomplete Word Vector Representations**Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, et al.*2015 · 227 citations*](https://md.research.elamur.ai/free/en/papers/faruqui-2015-sparse-overcomplete-word-vector-representations/)
2636. [**SemEval-2007 Task 07: Coarse-Grained English All-Words Task**Roberto Navigli, Kenneth C. Litkowski, Orin Hargraves*2007 · 227 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2007-semeval-2007-task-07-coarse/)
2637. [**Computational Interpretations of the Gricean Maxims in the Generation of Referring Expressions**Robert Dale, Ehud Reiter*1995 · 227 citations*](https://md.research.elamur.ai/free/en/papers/dale-1995-computational-interpretations-gricean-maxims-generation/)
2638. [**Tower: An Open Multilingual Large Language Model for Translation-Related Tasks**Duarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/alves-2024-tower-open-multilingual-large-language/)
2639. [**TrustLLM: Trustworthiness in Large Language Models**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
2640. [**A Language-Independent Neural Network for Event Detection**Xiaocheng Feng, Lifu Huang, Duyu Tang, et al.*2016 · 226 citations*](https://md.research.elamur.ai/free/en/papers/feng-2016-language-independent-neural-network-event/)
2641. [**Hybrid Simplification using Deep Semantics and Machine Translation**Shashi Narayan, Claire Gardent*2014 · 226 citations*](https://md.research.elamur.ai/free/en/papers/narayan-2014-hybrid-simplification-deep-semantics-machine/)
2642. [**Baseline Defenses for Adversarial Attacks Against Aligned Language Models**Neel Jain, Avi Schwarzschild, Yuxin Wen, et al.*2023 · 225 citations*](https://md.research.elamur.ai/free/en/papers/jain-2023-baseline-defenses-adversarial-attacks-against/)
2643. [**Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction**Yubo Ma, Zehao Wang, Yixin Cao, et al.*2022 · 225 citations*](https://md.research.elamur.ai/free/en/papers/ma-2022-prompt-extraction-paie-prompting-argument/)
2644. [**What learning algorithm is in-context learning? Investigations with linear models**Ekin Akyürek, Dale Schuurmans, Jacob Andreas, et al.*2022 · 225 citations*](https://md.research.elamur.ai/free/en/papers/akyurek-2022-learning-algorithm-context-learning-investigations/)
2645. [**Toward a Perspectivist Turn in Ground Truthing for Predictive Computing**Valerio Basile, Federico Cabitza, Andrea Campagner, et al.*2021 · 225 citations*](https://md.research.elamur.ai/free/en/papers/basile-2021-toward-perspectivist-turn-ground-truthing/)
2646. [**Coreferential Reasoning Learning for Language Representation**Deming Ye, Yankai Lin, Jiaju Du, et al.*2020 · 225 citations*](https://md.research.elamur.ai/free/en/papers/ye-2020-coreferential-reasoning-learning-language-representation/)
2647. [**Searching for Effective Neural Extractive Summarization: What Works and What's Next**Ming Zhong, Pengfei Liu, Danqing Wang, et al.*2019 · 225 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2019-searching-effective-neural-extractive-summarization/)
2648. [**Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks**Yonatan Belinkov, Lluis Marquez, Hassan Sajjad, et al.*2017 · 225 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2018-evaluating-layers-representation-neural-machine/)
2649. [**MedAlpaca — An Open-Source Collection of Medical Conversational AI Models and Training Data**Tianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, et al.*2023 · 224 citations*](https://md.research.elamur.ai/free/en/papers/han-2023-medalpaca-open-source-collection-medical/)
2650. [**Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting**Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al.*2023 · 224 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-all-languages-created-equal-llms/)
2651. [**Overview of the TREC 2019 deep learning track**Nick Craswell, Bhaskar Mitra, Emine Yilmaz, et al.*2020 · 224 citations*](https://md.research.elamur.ai/free/en/papers/craswell-2020-overview-trec-2019-deep-learning/)
2652. [**A Hierarchically-Labeled Portuguese Hate Speech Dataset**Paula Fortuna, João Rocha da Silva, Juan Soler-Company, et al.*2019 · 224 citations*](https://md.research.elamur.ai/free/en/papers/fortuna-2019-hierarchically-labeled-portuguese-hate-speech/)
2653. [**MTNT: A Testbed for Machine Translation of Noisy Text**Paul Michel, Graham Neubig*2018 · 224 citations*](https://md.research.elamur.ai/free/en/papers/michel-2018-mtnt-testbed-machine-translation-noisy/)
2654. [**Richer Event Description: Integrating event coreference with temporal, causal and bridging annotation**Tim O'Gorman, Kristin Wright-Bettner, Martha Palmer*2016 · 224 citations*](https://md.research.elamur.ai/free/en/papers/gorman-2016-richer-event-description-integrating-event/)
2655. [**Joint Determination of Anaphoricity and Coreference Resolution using Integer Programming**Pascal Denis, Jason Baldridge*2007 · 224 citations*](https://md.research.elamur.ai/free/en/papers/denis-2007-joint-determination-anaphoricity-coreference-resolution/)
2656. [**Parameter Estimation for Probabilistic Finite-State Transducers**Jason Eisner*2002 · 224 citations*](https://md.research.elamur.ai/free/en/papers/eisner-2002-parameter-estimation-probabilistic-finite-state/)
2657. [**BLEU might be Guilty but References are not Innocent**Markus Freitag, David Grangier, Isaac Caswell*2020 · 223 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2020-bleu-might-be-guilty-but/)
2658. [**Learning to Faithfully Rationalize by Construction**Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, et al.*2020 · 223 citations*](https://md.research.elamur.ai/free/en/papers/jain-2020-learning-faithfully-rationalize-construction/)
2659. [**Unsupervised Evaluation of Interactive Dialog with DialoGPT**Shikib Mehri, Maxine Eskenazi*2020 · 223 citations*](https://md.research.elamur.ai/free/en/papers/mehri-2020-unsupervised-evaluation-interactive-dialog-dialogpt/)
2660. [**The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 223 citations*](https://md.research.elamur.ai/free/en/papers/voita-2019-bottom-up-evolution-representations-transformer/)
2661. [**On Adversarial Examples for Character-Level Neural Machine Translation**Javid Ebrahimi, Daniel Lowd, Dejing Dou*2018 · 223 citations*](https://md.research.elamur.ai/free/en/papers/ebrahimi-2018-adversarial-examples-character-level-neural/)
2662. [**MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection**Guido Zarrella, Amy Marsh*2016 · 223 citations*](https://md.research.elamur.ai/free/en/papers/zarrella-2016-mitre-semeval-2016-task-6/)
2663. [**Modeling Argument Strength in Student Essays**Isaac Persing, Vincent Ng*2015 · 223 citations*](https://md.research.elamur.ai/free/en/papers/persing-2015-modeling-argument-strength-student-essays/)
2664. [**Improving Text Simplification Language Modeling Using Unsimplified Text Data**David Kauchak*2013 · 223 citations*](https://md.research.elamur.ai/free/en/papers/kauchak-2013-improving-text-simplification-language-modeling/)
2665. [**Unsupervised Models for Coreference Resolution**Vincent Ng*2008 · 223 citations*](https://md.research.elamur.ai/free/en/papers/ng-2008-unsupervised-models-coreference-resolution/)
2666. [**Lexical Markup Framework (LMF)**Gil Francopoulo, Monte George, Nicoletta Calzolari, et al.*2006 · 223 citations*](https://md.research.elamur.ai/free/en/papers/francopoulo-2006-lexical-markup-framework-lmf/)
2667. [**Measuring Agreement on Set-valued Items (MASI) for Semantic and Pragmatic Annotation**Rebecca Passonneau*2006 · 223 citations*](https://md.research.elamur.ai/free/en/papers/passonneau-2006-measuring-agreement-set-valued-items/)
2668. [**Inducing a Semantically Annotated Lexicon via EM-Based Clustering**Mats Rooth, Stefan Riezler, Detlef Prescher, et al.*1999 · 223 citations*](https://md.research.elamur.ai/free/en/papers/rooth-1999-inducing-semantically-annotated-lexicon-em/)
2669. [**A Polynomial-Time Algorithm for Statistical Machine Translation**Dekai Wu*1996 · 223 citations*](https://md.research.elamur.ai/free/en/papers/wu-1996-polynomial-time-algorithm-statistical-machine/)
2670. [**A Survey of Hallucination in Large Foundation Models**Vipula Rawte, Amit Sheth, Amitava Das*2023 · 222 citations*](https://md.research.elamur.ai/free/en/papers/rawte-2023-survey-hallucination-large-foundation-models/)
2671. [**GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information**Qiao Jin, Yifan Yang, Qingyu Chen, et al.*2023 · 222 citations*](https://md.research.elamur.ai/free/en/papers/jin-2023-genegpt-augmenting-large-language-models/)
2672. [**How Language Model Hallucinations Can Snowball**Muru Zhang, Ofir Press, William Merrill, et al.*2023 · 222 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-language-model-hallucinations-snowball/)
2673. [**Specializing Smaller Language Models towards Multi-Step Reasoning**Yao Fu, Hao Peng, Litu Ou, et al.*2023 · 222 citations*](https://md.research.elamur.ai/free/en/papers/fu-2023-specializing-smaller-language-models-towards/)
2674. [**ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving**Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.*2023 · 222 citations*](https://md.research.elamur.ai/free/en/papers/gou-2023-tora-tool-integrated-reasoning-agent/)
2675. [**GLUECoS: An Evaluation Benchmark for Code-Switched NLP**Simran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, et al.*2020 · 222 citations*](https://md.research.elamur.ai/free/en/papers/khanuja-2020-gluecos-evaluation-benchmark-code-switched/)
2676. [**SLURP: A Spoken Language Understanding Resource Package**Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski, et al.*2020 · 222 citations*](https://md.research.elamur.ai/free/en/papers/bastianelli-2020-slurp-spoken-language-understanding-resource/)
2677. [**Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation**Marcin Junczys-Dowmunt*2019 · 222 citations*](https://md.research.elamur.ai/free/en/papers/dowmunt-2019-microsoft-translator-wmt-2019-large/)
2678. [**Text Readability Assessment for Second Language Learners**Menglin Xia, Ekaterina Kochmar, Ted Briscoe*2016 · 222 citations*](https://md.research.elamur.ai/free/en/papers/xia-2016-text-readability-assessment-second-language/)
2679. [**Identifying Appropriate Support for Propositions in Online User Comments**Joonsuk Park, Claire Cardie*2014 · 222 citations*](https://md.research.elamur.ai/free/en/papers/park-2014-identifying-appropriate-support-propositions-online/)
2680. [**Putting it Simply: a Context-Aware Approach to Lexical Simplification**Or Biran, Samuel Brody, Noémie Elhadad*2011 · 222 citations*](https://md.research.elamur.ai/free/en/papers/biran-2011-putting-it-simply-context-aware/)
2681. [**HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification**Yichen Jiang, Shikha Bordia, Zheng Zhong, et al.*2020 · 221 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2020-hover-dataset-many-hop-fact/)
2682. [**Reasoning Over Semantic-Level Graph for Fact Checking**Wanjun Zhong, Jingjing Xu, Duyu Tang, et al.*2020 · 221 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/)
2683. [**Beyond BLEU: Training Neural Machine Translation with Semantic Similarity**John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, et al.*2019 · 221 citations*](https://md.research.elamur.ai/free/en/papers/wieting-2019-beyond-bleu-training-neural-machine/)
2684. [**Visualizing and Understanding the Effectiveness of BERT**Yaru Hao, Li Dong, Furu Wei, et al.*2019 · 221 citations*](https://md.research.elamur.ai/free/en/papers/hao-2019-visualizing-understanding-effectiveness-bert/)
2685. [**Few-Shot Charge Prediction with Discriminative Legal Attributes**Zikun Hu, Xiang Li, Cunchao Tu, et al.*2018 · 221 citations*](https://md.research.elamur.ai/free/en/papers/hu-2018-few-shot-charge-prediction-discriminative/)
2686. [**Towards String-To-Tree Neural Machine Translation**Roee Aharoni, Yoav Goldberg*2017 · 221 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2017-string-tree-neural-machine-translation/)
2687. [**Unsupervised Multilingual Learning for Morphological Segmentation**Benjamin Snyder, Regina Barzilay*2008 · 221 citations*](https://md.research.elamur.ai/free/en/papers/snyder-2008-unsupervised-multilingual-learning-morphological-segmentation/)
2688. [**Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models**Seungone Kim, Juyoung Suk, Shayne Longpre, et al.*2024 · 220 citations*](https://md.research.elamur.ai/free/en/papers/kim-2024-prometheus-2-open-source-language/)
2689. [**Med-HALT: Medical Domain Hallucination Test for Large Language Models**Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu*2023 · 220 citations*](https://md.research.elamur.ai/free/en/papers/pal-2023-med-halt-medical-domain-hallucination/)
2690. [**Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection**Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, et al.*2023 · 220 citations*](https://md.research.elamur.ai/free/en/papers/greshake-2023-ve-signed-up-compromising-real/)
2691. [**Steering Language Models With Activation Engineering**Alexander Matt Turner, Lisa Thiergart, Gavin Leech, et al.*2023 · 220 citations*](https://md.research.elamur.ai/free/en/papers/turner-2023-steering-language-models-activation-engineering/)
2692. [**Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment**Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li*2023 · 220 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-trustworthy-llms-survey-guideline-evaluating/)
2693. [**Beyond neural scaling laws: beating power law scaling via data pruning**Ben Sorscher, Robert Geirhos, Shashank Shekhar, et al.*2022 · 220 citations*](https://md.research.elamur.ai/free/en/papers/sorscher-2022-neural-scaling-laws-beating-power/)
2694. [**Self-critiquing models for assisting human evaluators**William Saunders, Catherine Yeh, Jeff Wu, et al.*2022 · 220 citations*](https://md.research.elamur.ai/free/en/papers/saunders-2022-self-critiquing-models-assisting-human/)
2695. [**Transformer Memory as a Differentiable Search Index**Yi Tay, Vinh Q. Tran, Mostafa Dehghani, et al.*2022 · 220 citations*](https://md.research.elamur.ai/free/en/papers/tay-2022-transformer-memory-differentiable-search-index/)
2696. [**Generating Fact Checking Explanations**Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, et al.*2020 · 220 citations*](https://md.research.elamur.ai/free/en/papers/atanasova-2020-generating-fact-checking-explanations/)
2697. [**Neural Latent Extractive Document Summarization**Xingxing Zhang, Mirella Lapata, Furu Wei, et al.*2018 · 220 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-latent-extractive-document-summarization/)
2698. [**Loosely Tree-Based Alignment for Machine Translation**Daniel Gildea*2003 · 220 citations*](https://md.research.elamur.ai/free/en/papers/gildea-2003-loosely-tree-based-alignment-machine/)
2699. [**NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models**Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.*2024 · 219 citations*](https://md.research.elamur.ai/free/en/papers/lee-2024-nv-embed-improved-techniques-training/)
2700. [**Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks**Paul Röttger, Bertie Vidgen, Dirk Hovy, et al.*2022 · 219 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2022-two-contrasting-data-annotation-paradigms/)
2701. [**Multilingual Translation from Denoising Pre-Training**Yuqing Tang, Chau Tran, Xian Li, et al.*2021 · 219 citations*](https://md.research.elamur.ai/free/en/papers/tang-2021-multilingual-translation-denoising-pre-training/)
2702. [**A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages**Pedro Javier Ortiz Suárez, Laurent Romary, Benoît Sagot*2020 · 219 citations*](https://md.research.elamur.ai/free/en/papers/suarez-2020-monolingual-approach-contextualized-word-embeddings/)
2703. [**Factual Error Correction for Abstractive Summarization Models**Meng Cao, Yue Dong, Jiapeng Wu, et al.*2020 · 219 citations*](https://md.research.elamur.ai/free/en/papers/cao-2020-factual-error-correction-abstractive-summarization/)
2704. [**The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?**Jasmijn Bastings, Katja Filippova*2020 · 219 citations*](https://md.research.elamur.ai/free/en/papers/bastings-2020-elephant-interpretability-room-why-use/)
2705. [**Head-Driven Phrase Structure Grammar Parsing on Penn Treebank**Junru Zhou, Hai Zhao*2019 · 219 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2019-head-driven-phrase-structure-grammar/)
2706. [**The MADAR Shared Task on Arabic Fine-Grained Dialect Identification**Houda Bouamor, Sabit Hassan, Nizar Habash*2019 · 219 citations*](https://md.research.elamur.ai/free/en/papers/bouamor-2019-madar-shared-task-arabic-fine/)
2707. [**Probing for semantic evidence of composition by means of simple classification tasks**Allyson Ettinger, Ahmed Elgohary, Philip Resnik*2016 · 219 citations*](https://md.research.elamur.ai/free/en/papers/ettinger-2016-probing-semantic-evidence-composition-means/)
2708. [**Joint prediction in MST-style discourse parsing for argumentation mining**Andreas Peldszus, Manfred Stede*2015 · 219 citations*](https://md.research.elamur.ai/free/en/papers/peldszus-2015-joint-prediction-mst-style-discourse/)
2709. [**Solving Geometry Problems: Combining Text and Diagram Interpretation**Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, et al.*2015 · 219 citations*](https://md.research.elamur.ai/free/en/papers/seo-2015-solving-geometry-problems-combining-text/)
2710. [**Qwen2.5-Omni Technical Report**Jin Xu, Zhifang Guo, Jinzheng He, et al.*2025 · 218 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-qwen2-5-omni-technical/)
2711. [**Break It Down: A Question Understanding Benchmark**Tomer Wolfson, Mor Geva, Ankit Gupta, et al.*2020 · 218 citations*](https://md.research.elamur.ai/free/en/papers/wolfson-2020-break-it-down-question-understanding/)
2712. [**SciREX: A Challenge Dataset for Document-Level Information Extraction**Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, et al.*2020 · 218 citations*](https://md.research.elamur.ai/free/en/papers/jain-2020-scirex-challenge-dataset-document-level/)
2713. [**Unsupervised Question Decomposition for Question Answering**Ethan Perez, Patrick Lewis, Wen-tau Yih, et al.*2020 · 218 citations*](https://md.research.elamur.ai/free/en/papers/perez-2020-unsupervised-question-decomposition-question-answering/)
2714. [**What Happens To BERT Embeddings During Fine-tuning?**Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al.*2020 · 218 citations*](https://md.research.elamur.ai/free/en/papers/merchant-2020-what-happens-bert-embeddings-during/)
2715. [**Modelling Sarcasm in Twitter, a Novel Approach**Francesco Barbieri, Horacio Saggion, Francesco Ronzano*2014 · 218 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-sarcasm-twitter-novel-approach/)
2716. [**Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition**Jana Straková, Milan Straka, Jan Hajič*2014 · 218 citations*](https://md.research.elamur.ai/free/en/papers/strakova-2014-open-source-tools-morphology-lemmatization/)
2717. [**Automatically Evaluating Text Coherence Using Discourse Relations**Ziheng Lin, Hwee Tou Ng, Min-Yen Kan*2011 · 218 citations*](https://md.research.elamur.ai/free/en/papers/lin-2011-automatically-evaluating-text-coherence-discourse/)
2718. [**Distilling Reasoning Capabilities into Smaller Language Models**Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan*2023 · 217 citations*](https://md.research.elamur.ai/free/en/papers/shridhar-2023-distilling-reasoning-capabilities-into-smaller/)
2719. [**Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models**Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.*2023 · 217 citations*](https://md.research.elamur.ai/free/en/papers/sengupta-2023-jais-jais-chat-arabic-centric/)
2720. [**FOLIO: Natural Language Reasoning with First-Order Logic**Simeng Han, Hailey Schoelkopf, Yilun Zhao, et al.*2022 · 217 citations*](https://md.research.elamur.ai/free/en/papers/han-2022-folio-natural-language-reasoning-first/)
2721. [**SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing**Junyi Ao, Rui Wang, Long Zhou, et al.*2022 · 217 citations*](https://md.research.elamur.ai/free/en/papers/ao-2022-speecht5-unified-modal-encoder-decoder/)
2722. [**Structured Pruning Learns Compact and Accurate Models**Mengzhou Xia, Zexuan Zhong, Danqi Chen*2022 · 217 citations*](https://md.research.elamur.ai/free/en/papers/xia-2022-structured-pruning-learns-compact-accurate/)
2723. [**Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models**Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, et al.*2020 · 217 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-birds-have-four-legs-numersense/)
2724. [**Syntactic Data Augmentation Increases Robustness to Inference Heuristics**Junghyun Min, R. Thomas McCoy, Dipanjan Das, et al.*2020 · 217 citations*](https://md.research.elamur.ai/free/en/papers/min-2020-syntactic-data-augmentation-increases-robustness/)
2725. [**Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing**Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, et al.*2019 · 217 citations*](https://md.research.elamur.ai/free/en/papers/ponti-2019-modeling-language-variation-universals-survey/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/27/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [20](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/20/) … [27](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/27/) **28** [29](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/29/) [30](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/30/) … [90](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/90/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/29/)
