---
title: "Artificial Intelligence — papers, page 40 — Elamur Research"
description: "Artificial Intelligence: 8,885 papers of the Elamur Research library · page 40 of 90 · 3826–3925, the most cited first — our summary of each…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/40/"
---
[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/40/)

[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 40

# 🤖 Artificial Intelligence

8,885 papers · page 40 of 90 · 3826–3925 · 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/39/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [30](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/30/) … [39](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/39/) **40** [41](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/41/) … [50](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/50/) … [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/41/)

3826. [**Retrieval-based Language Models and Applications**Akari Asai, Sewon Min, Zexuan Zhong, et al.*2023 · 137 citations*](https://md.research.elamur.ai/free/en/papers/asai-2023-retrieval-based-language-models-applications/)
3827. [**Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension**Ying Xu, Dakuo Wang, Mo Yu, et al.*2022 · 137 citations*](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/)
3828. [**An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction**Bhargavi Paranjape, Mandar Joshi, John Thickstun, et al.*2020 · 137 citations*](https://md.research.elamur.ai/free/en/papers/paranjape-2020-information-bottleneck-approach-controlling-conciseness/)
3829. [**ConvoKit: A Toolkit for the Analysis of Conversations**Jonathan P. Chang, Caleb Chiam, Liye Fu, et al.*2020 · 137 citations*](https://md.research.elamur.ai/free/en/papers/chang-2020-convokit-toolkit-analysis-conversations/)
3830. [**Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets**Nelson F. Liu, Roy Schwartz, Noah A. Smith*2019 · 137 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-inoculation-fine-tuning-method-analyzing/)
3831. [**Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation**Eva Vanmassenhove, Dimitar Shterionov, Andy Way*2019 · 137 citations*](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2019-lost-translation-loss-decay-linguistic/)
3832. [**Pushing the Limits of Low-Resource Morphological Inflection**Antonios Anastasopoulos, Graham Neubig*2019 · 137 citations*](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2019-pushing-limits-low-resource-morphological/)
3833. [**Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations**Rik van Noord, Johan Bos*2017 · 137 citations*](https://md.research.elamur.ai/free/en/papers/noord-2017-neural-semantic-parsing-character-based/)
3834. [**Findings of the 2009 Workshop on Statistical Machine Translation**Chris Callison-Burch, Philipp Koehn, Christof Monz, et al.*2009 · 137 citations*](https://md.research.elamur.ai/free/en/papers/burch-2009-findings-2009-workshop-statistical-machine/)
3835. [**Agent Laboratory: Using LLM Agents as Research Assistants**Samuel Schmidgall, Yusheng Su, Ze Wang, et al.*2025 · 136 citations*](https://md.research.elamur.ai/free/en/papers/schmidgall-2025-agent-laboratory-using-llm/)
3836. [**Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design**Lindia Tjuatja, Valerie Chen, Tongshuang Wu, et al.*2024 · 136 citations*](https://md.research.elamur.ai/free/en/papers/tjuatja-2024-do-llms-exhibit-human-like/)
3837. [**A fine-grained comparison of pragmatic language understanding in humans and language models**Jennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.*2023 · 136 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-fine-grained-comparison-pragmatic-language/)
3838. [**Detecting Language Model Attacks with Perplexity**Gabriel Alon, Michael Kamfonas*2023 · 136 citations*](https://md.research.elamur.ai/free/en/papers/alon-2023-detecting-language-model-attacks-perplexity/)
3839. [**mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration**Qinghao Ye, Haiyang Xu, Jiabo Ye, et al.*2023 · 136 citations*](https://md.research.elamur.ai/free/en/papers/ye-2023-mplug-owl2-revolutionizing-multi-modal/)
3840. [**SafetyBench: Evaluating the Safety of Large Language Models**Zhexin Zhang, Leqi Lei, Lindong Wu, et al.*2023 · 136 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-safetybench-evaluating-safety-large/)
3841. [**Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models**Bernd Bohnet, Vinh Q. Tran, Pat Verga, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2022-attributed-question-answering-evaluation-modeling/)
3842. [**NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics**Ximing Lu, Sean Welleck, Peter West, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/lu-2022-neurologic-esque-decoding-constrained-text/)
3843. [**SummScreen: A Dataset for Abstractive Screenplay Summarization**Mingda Chen, Zewei Chu, Sam Wiseman, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/chen-2022-summscreen-dataset-abstractive-screenplay-summarization/)
3844. [**A Simple and Effective Unified Encoder for Document-Level Machine Translation**Shuming Ma, Dongdong Zhang, Ming Zhou*2020 · 136 citations*](https://md.research.elamur.ai/free/en/papers/ma-2020-simple-effective-unified-encoder-document/)
3845. [**Question Answering by Reasoning Across Documents with Graph Convolutional Networks**Nicola De Cao, Wilker Aziz, Ivan Titov*2019 · 136 citations*](https://md.research.elamur.ai/free/en/papers/cao-2019-question-answering-reasoning-across-documents/)
3846. [**A Comparison of the Events and Relations Across ACE, ERE, TAC-KBP, and FrameNet Annotation Standards**Jacqueline Aguilar, Charley Beller, Paul McNamee, et al.*2014 · 136 citations*](https://md.research.elamur.ai/free/en/papers/aguilar-2014-comparison-events-relations-across-ace/)
3847. [**Findings of the 2011 Workshop on Statistical Machine Translation**Chris Callison-Burch, Philipp Koehn, Christof Monz, et al.*2011 · 136 citations*](https://md.research.elamur.ai/free/en/papers/burch-2011-findings-2011-workshop-statistical-machine/)
3848. [**Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention**Jingyang Yuan, Huazuo Gao, Damai Dai, et al.*2025 · 135 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2025-native-sparse-attention-hardware/)
3849. [**A Roadmap to Pluralistic Alignment**Taylor Sorensen, Jared Moore, Jillian Fisher, et al.*2024 · 135 citations*](https://md.research.elamur.ai/free/en/papers/sorensen-2024-roadmap-pluralistic-alignment/)
3850. [**DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding**Zhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.*2024 · 135 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-deepseek-vl2-mixture-experts/)
3851. [**Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models**Qingyu Lu, Baopu Qiu, Liang Ding, et al.*2024 · 135 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-error-analysis-prompting-enables-human/)
3852. [**RAFT: Adapting Language Model to Domain Specific RAG**Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.*2024 · 135 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-raft-adapting-language-model-domain/)
3853. [**Token-Budget-Aware LLM Reasoning**Tingxu Han, Zhenting Wang, Chunrong Fang, et al.*2024 · 135 citations*](https://md.research.elamur.ai/free/en/papers/han-2024-token-budget-aware-llm-reasoning/)
3854. [**Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task**Ricardo Rei, Nuno M. Guerreiro, José Pombal, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/rei-2023-scaling-up-cometkiwi-unbabel-ist/)
3855. [**Self-Knowledge Guided Retrieval Augmentation for Large Language Models**Yile Wang, Peng Li, Maosong Sun, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-self-knowledge-guided-retrieval-augmentation/)
3856. [**SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects**David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2023-sib-200-simple-inclusive-big/)
3857. [**SLiC-HF: Sequence Likelihood Calibration with Human Feedback**Yao Zhao, Rishabh Joshi, Tianqi Liu, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-slic-hf-sequence-likelihood-calibration/)
3858. [**Detoxifying Language Models Risks Marginalizing Minority Voices**Albert Xu, Eshaan Pathak, Eric Wallace, et al.*2021 · 135 citations*](https://md.research.elamur.ai/free/en/papers/xu-2021-detoxifying-language-models-risks-marginalizing/)
3859. [**Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs**Jiaao Chen, Diyi Yang*2021 · 135 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-structure-aware-abstractive-conversation-summarization/)
3860. [**Affective and Contextual Embedding for Sarcasm Detection**Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.*2020 · 135 citations*](https://md.research.elamur.ai/free/en/papers/babanejad-2020-affective-contextual-embedding-sarcasm-detection/)
3861. [**Domain Robustness in Neural Machine Translation**Mathias Müller, Annette Rios, Rico Sennrich*2020 · 135 citations*](https://md.research.elamur.ai/free/en/papers/muller-2020-domain-robustness-neural-machine-translation/)
3862. [**Grounded Adaptation for Zero-shot Executable Semantic Parsing**Victor Zhong, Mike Lewis, Sida I. Wang, et al.*2020 · 135 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-grounded-adaptation-zero-shot-executable/)
3863. [**Learning Simplifications for Specific Target Audiences**Carolina Scarton, Lucia Specia*2018 · 135 citations*](https://md.research.elamur.ai/free/en/papers/scarton-2018-learning-simplifications-specific-target-audiences/)
3864. [**Semantic Structural Evaluation for Text Simplification**Elior Sulem, Omri Abend, Ari Rappoport*2018 · 135 citations*](https://md.research.elamur.ai/free/en/papers/sulem-2018-semantic-structural-evaluation-text-simplification/)
3865. [**MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility based on semantic roles**Chi-kiu Lo, Dekai Wu*2011 · 135 citations*](https://md.research.elamur.ai/free/en/papers/lo-2011-meant-inexpensive-high-accuracy-semi/)
3866. [**Morphological Annotation of Quranic Arabic**Kais Dukes, Nizar Habash*2010 · 135 citations*](https://md.research.elamur.ai/free/en/papers/dukes-2010-morphological-annotation-quranic-arabic/)
3867. [**A Novel Discourse Parser Based on Support Vector Machine Classification**David duVerle, Helmut Prendinger*2009 · 135 citations*](https://md.research.elamur.ai/free/en/papers/duverle-2009-novel-discourse-parser-based-support/)
3868. [**Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation**Yuk Wah Wong, Raymond Mooney*2007 · 135 citations*](https://md.research.elamur.ai/free/en/papers/wong-2007-generation-inverting-semantic-parser-that/)
3869. [**Many-Shot In-Context Learning**Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.*2024 · 134 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2024-many-shot-context-learning/)
3870. [**Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models**Paul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.*2024 · 134 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2024-political-compass-or-spinning-arrow/)
3871. [**Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models**Pat Verga, Sebastian Hofstatter, Sophia Althammer, et al.*2024 · 134 citations*](https://md.research.elamur.ai/free/en/papers/verga-2024-replacing-judges-juries-evaluating-llm/)
3872. [**Simple and Effective Masked Diffusion Language Models**Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al.*2024 · 134 citations*](https://md.research.elamur.ai/free/en/papers/sahoo-2024-simple-effective-masked-diffusion-language/)
3873. [**Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models**Avi Singh, John D. Co-Reyes, Rishabh Agarwal, et al.*2023 · 134 citations*](https://md.research.elamur.ai/free/en/papers/singh-2023-human-data-scaling-self-training/)
3874. [**DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models**Zhengfu He, Tianxiang Sun, Qiong Tang, et al.*2023 · 134 citations*](https://md.research.elamur.ai/free/en/papers/he-2023-diffusionbert-improving-generative-masked-language/)
3875. [**Theory of Mind for Multi-Agent Collaboration via Large Language Models**Huao Li, Yu Chong, Simon Stepputtis, et al.*2023 · 134 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-theory-mind-multi-agent-collaboration/)
3876. [**Few-Shot Self-Rationalization with Natural Language Prompts**Ana Marasovic, Iz Beltagy, Doug Downey, et al.*2022 · 134 citations*](https://md.research.elamur.ai/free/en/papers/marasovic-2022-few-shot-self-rationalization-natural/)
3877. [**Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models**Wenkai Yang, Lei Li, Zhiyuan Zhang, et al.*2021 · 134 citations*](https://md.research.elamur.ai/free/en/papers/yang-2021-be-careful-about-poisoned-word/)
3878. [**Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph**Rui Liu, Zheng Lin, Yutong Tan, et al.*2021 · 134 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-enhancing-zero-shot-few-shot/)
3879. [**Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning**Pan Lu, Ran Gong, Shibiao Jiang, et al.*2021 · 134 citations*](https://md.research.elamur.ai/free/en/papers/lu-2021-inter-gps-interpretable-geometry-problem/)
3880. [**Semantic Graphs for Generating Deep Questions**Liangming Pan, Yuxi Xie, Yansong Feng, et al.*2020 · 134 citations*](https://md.research.elamur.ai/free/en/papers/pan-2020-semantic-graphs-generating-deep-questions/)
3881. [**DisSent: Learning Sentence Representations from Explicit Discourse Relations**Allen Nie, Erin Bennett, Noah Goodman*2019 · 134 citations*](https://md.research.elamur.ai/free/en/papers/nie-2019-dissent-learning-sentence-representations-explicit/)
3882. [**Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains**Wei Shi, Vera Demberg*2019 · 134 citations*](https://md.research.elamur.ai/free/en/papers/shi-2019-next-sentence-prediction-helps-implicit/)
3883. [**Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches**Shane Storks, Qiaozi Gao, Joyce Y. Chai*2019 · 134 citations*](https://md.research.elamur.ai/free/en/papers/storks-2019-recent-advances-natural-language-inference/)
3884. [**Findings of the WMT 2018 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Varvara Logacheva, et al.*2018 · 134 citations*](https://md.research.elamur.ai/free/en/papers/specia-2018-findings-wmt-2018-shared-task/)
3885. [**Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description**Desmond Elliott, Stella Frank, Loïc Barrault, et al.*2017 · 134 citations*](https://md.research.elamur.ai/free/en/papers/elliott-2017-findings-second-shared-task-multimodal/)
3886. [**The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations**Lasha Abzianidze, Johannes Bjerva, Kilian Evang, et al.*2017 · 134 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2017-parallel-meaning-bank-multilingual-corpus/)
3887. [**Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network**Hamed Khanpour, Nishitha Guntakandla, Rodney Nielsen*2016 · 134 citations*](https://md.research.elamur.ai/free/en/papers/khanpour-2016-dialogue-act-classification-domain-independent/)
3888. [**Automatic Interpretation of Noun Compounds Using WordNet Similarity**Su Nam Kim, Timothy Baldwin*2005 · 134 citations*](https://md.research.elamur.ai/free/en/papers/kim-2005-automatic-interpretation-noun-compounds-wordnet/)
3889. [**Expanding the Scope of the ATIS Task: The ATIS-3 Corpus**Deborah A. Dahl, Madeleine Bates, Michael Brown, et al.*1994 · 134 citations*](https://md.research.elamur.ai/free/en/papers/dahl-1994-expanding-scope-atis-task-atis/)
3890. [**InFoBench: Evaluating Instruction Following Ability in Large Language Models**Yiwei Qin, Kaiqiang Song, Yebowen Hu, et al.*2024 · 133 citations*](https://md.research.elamur.ai/free/en/papers/qin-2024-infobench-evaluating-instruction-following-ability/)
3891. [**To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning**Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.*2024 · 133 citations*](https://md.research.elamur.ai/free/en/papers/sprague-2024-cot-cot-chain-thought-helps/)
3892. [**TOFU: A Task of Fictitious Unlearning for LLMs**Pratyush Maini, Zhili Feng, Avi Schwarzschild, et al.*2024 · 133 citations*](https://md.research.elamur.ai/free/en/papers/maini-2024-tofu-task-fictitious-unlearning-llms/)
3893. [**Prompting is not a substitute for probability measurements in large language models**Jennifer Hu, Roger Levy*2023 · 133 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-prompting-is-not-substitute-probability/)
3894. [**STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation**Qingkai Fang, Rong Ye, Lei Li, et al.*2022 · 133 citations*](https://md.research.elamur.ai/free/en/papers/fang-2022-stemm-self-learning-speech-text/)
3895. [**Decontextualization: Making Sentences Stand-Alone**Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, et al.*2021 · 133 citations*](https://md.research.elamur.ai/free/en/papers/choi-2021-decontextualization-making-sentences-stand-alone/)
3896. [**Open Domain Question Answering over Tables via Dense Retrieval**Jonathan Herzig, Thomas Müller, Syrine Krichene, et al.*2021 · 133 citations*](https://md.research.elamur.ai/free/en/papers/herzig-2021-open-domain-question-answering-over/)
3897. [**TICO-19: the Translation Initiative for COvid-19**Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, et al.*2020 · 133 citations*](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2020-tico-19-translation-initiative-covid/)
3898. [**Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension**Kai Sun, Dian Yu, Dong Yu, et al.*2019 · 133 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-investigating-prior-knowledge-challenging/)
3899. [**A Retrospective Analysis of the Fake News Challenge Stance-Detection Task**Andreas Hanselowski, Avinesh PVS, Benjamin Schiller, et al.*2018 · 133 citations*](https://md.research.elamur.ai/free/en/papers/hanselowski-2018-retrospective-analysis-fake-news-challenge/)
3900. [**Stance Detection with Hierarchical Attention Network**Qingying Sun, Zhongqing Wang, Qiaoming Zhu, et al.*2018 · 133 citations*](https://md.research.elamur.ai/free/en/papers/sun-2018-stance-detection-hierarchical-attention-network/)
3901. [**Dialogue Act Recognition via CRF-Attentive Structured Network**Zheqian Chen, Rongqin Yang, Zhou Zhao, et al.*2017 · 133 citations*](https://md.research.elamur.ai/free/en/papers/chen-2017-dialogue-act-recognition-crf-attentive/)
3902. [**Raising and resolving issues with scalar modifiers**Elizabeth Coppock, Thomas Brochhagen*2013 · 133 citations*](https://md.research.elamur.ai/free/en/papers/coppock-2013-raising-resolving-issues-scalar-modifiers/)
3903. [**Quasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependencies**David Smith, Jason Eisner*2006 · 133 citations*](https://md.research.elamur.ai/free/en/papers/smith-2006-quasi-synchronous-grammars-alignment-soft/)
3904. [**Long-context LLMs Struggle with Long In-context Learning**Tianle Li, Ge Zhang, Quy Duc Do, et al.*2024 · 132 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-long-context-llms-struggle-long/)
3905. [**OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework**Jian Hu, Xibin Wu, Wei Shen, et al.*2024 · 132 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-openrlhf-easy-use-scalable/)
3906. [**AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning**Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, et al.*2022 · 132 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-adamix-mixture-adaptations-parameter-efficient/)
3907. [**FLUTE: Figurative Language Understanding through Textual Explanations**Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.*2022 · 132 citations*](https://md.research.elamur.ai/free/en/papers/chakrabarty-2022-flute-figurative-language-understanding-through/)
3908. [**Formal Mathematics Statement Curriculum Learning**Stanislas Polu, Jesse Michael Han, Kunhao Zheng, et al.*2022 · 132 citations*](https://md.research.elamur.ai/free/en/papers/polu-2022-formal-mathematics-statement-curriculum-learning/)
3909. [**Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement**Hui Liu, Wenya Wang, Haoliang Li*2022 · 132 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-multi-modal-sarcasm-detection-hierarchical/)
3910. [**Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement**Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio, et al.*2021 · 132 citations*](https://md.research.elamur.ai/free/en/papers/leonardelli-2021-agreeing-disagree-annotating-offensive-language/)
3911. [**UnNatural Language Inference**Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, et al.*2021 · 132 citations*](https://md.research.elamur.ai/free/en/papers/sinha-2021-unnatural-language-inference/)
3912. [**What to Pre-Train on? Efficient Intermediate Task Selection**Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.*2021 · 132 citations*](https://md.research.elamur.ai/free/en/papers/poth-2021-what-pre-train-efficient-intermediate/)
3913. [**Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation**Jungo Kasai, Nikolaos Pappas, Hao Peng, et al.*2020 · 132 citations*](https://md.research.elamur.ai/free/en/papers/kasai-2020-deep-encoder-shallow-decoder-reevaluating/)
3914. [**Does Gender Matter? Towards Fairness in Dialogue Systems**Haochen Liu, Jamell Dacon, Wenqi Fan, et al.*2020 · 132 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-does-gender-matter-fairness-dialogue/)
3915. [**From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset**Ibrahim Abu Farha, Walid Magdy*2020 · 132 citations*](https://md.research.elamur.ai/free/en/papers/farha-2020-arabic-sentiment-analysis-sarcasm-detection/)
3916. [**Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue**Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, et al.*2019 · 132 citations*](https://md.research.elamur.ai/free/en/papers/balakrishnan-2019-constrained-decoding-neural-nlg-compositional/)
3917. [**Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions**Philipp Koehn, Francisco Guzmán, Vishrav Chaudhary, et al.*2019 · 132 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2019-findings-wmt-2019-shared-task/)
3918. [**Answering Complex Questions Using Open Information Extraction**Tushar Khot, Ashish Sabharwal, Peter Clark*2017 · 132 citations*](https://md.research.elamur.ai/free/en/papers/khot-2017-answering-complex-questions-open-information/)
3919. [**Machine Translation Experiments on PADIC: A Parallel Arabic DIalect Corpus**Karima Meftouh, Salima Harrat, Salma Jamoussi, et al.*2015 · 132 citations*](https://md.research.elamur.ai/free/en/papers/meftouh-2015-machine-translation-experiments-padic-parallel/)
3920. [**Experimenting with the king of France: Topics, verifiability and definite descriptions**Márta Abrusán, Kriszta Szendrői*2013 · 132 citations*](https://md.research.elamur.ai/free/en/papers/abrusan-2013-experimenting-king-france-topics-verifiability/)
3921. [**Lexical, Prosodic, and Syntactic Cues for Dialog Acts**Daniel Jurafsky, Elizabeth Shriberg, Barbara Fox, et al.*1998 · 132 citations*](https://md.research.elamur.ai/free/en/papers/jurafsky-1998-lexical-prosodic-syntactic-cues-dialog/)
3922. [**EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees**Yuhui Li, Fangyun Wei, Chao Zhang, et al.*2024 · 131 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-eagle-2-faster-inference-language/)
3923. [**EuroLLM: Multilingual Language Models for Europe**Pedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.*2024 · 131 citations*](https://md.research.elamur.ai/free/en/papers/martins-2024-eurollm-multilingual-language-models-europe/)
3924. [**Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View**Jintian Zhang, Xin Xu, Ningyu Zhang, et al.*2024 · 131 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-exploring-collaboration-mechanisms-llm-agents/)
3925. [**Humans or LLMs as the Judge? A Study on Judgement Bias**Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.*2024 · 131 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-humans-or-llms-as-judge/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/39/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [30](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/30/) … [39](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/39/) **40** [41](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/41/) … [50](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/50/) … [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/41/)
