---
title: "Who cites Jimmy Lei Ba — page 10 — 14,084 citing papers"
description: "14,084 papers of the Elamur Research library cite the works of Jimmy Lei Ba, found in their bibliographies · page 10 of 15 · 901–1000; the…"
canonical: "https://research.elamur.ai/free/en/authors/jimmy-lei-ba/cited-by/page/10/"
---
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# Who cites Jimmy Lei Ba

15,364 citations of their works from 14,084 papers of our library (of the 149,439 whose bibliographies we read) · 1,475 with a page here, the most cited first · page 10 of 15 · 901–1000 · [← Jimmy Lei Ba](https://md.research.elamur.ai/free/en/authors/jimmy-lei-ba/)

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901. **[A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context](https://md.research.elamur.ai/free/en/papers/udagawa-2019-natural-language-corpus-common-grounding/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Takuma Udagawa, Akiko Aizawa*2019 · 68 citations*
902. [**Seed1.5-VL Technical Report arXiv:2505.07062**Dong Guo, Faming Wu, Feida Zhu, et al.*2025 · 67 citations*](https://md.research.elamur.ai/free/en/papers/guo-2025-seed1-5-vl-technical/)
903. **[OffsetBias: Leveraging Debiased Data for Tuning Evaluators](https://md.research.elamur.ai/free/en/papers/park-2024-offsetbias-leveraging-debiased-data-tuning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junsoo Park, Seungyeon Jwa, Ren Meiying, et al.*2024 · 67 citations*
904. **[The Devil in Linear Transformer](https://md.research.elamur.ai/free/en/papers/qin-2022-devil-linear-transformer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhen Qin, Xiaodong Han, Weixuan Sun, et al.*2022 · 67 citations*
905. **[Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints](https://md.research.elamur.ai/free/en/papers/wang-2020-faithful-neural-table-text-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenyi Wang, Xiaoyang Wang, Bang An, et al.*2020 · 67 citations*
906. **[Dynamic Routing Transformer Network for Multimodal Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/tian-2023-dynamic-routing-transformer-network-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuan Tian, Nan Xu, Ruike Zhang, et al.*2023 · 66 citations*
907. **[Multi-Domain Dialogue Acts and Response Co-Generation](https://md.research.elamur.ai/free/en/papers/wang-2020-multi-domain-dialogue-acts-response/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Wang, Junfeng Tian, Rui Wang, et al.*2020 · 66 citations*
908. **[MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/chang-2025-main-rag-multi-agent-filtering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, et al.*2025 · 65 citations*
909. [**Inquisitive Question Generation for High Level Text Comprehension**Wei-Jen Ko, Te-yuan Chen, Yiyan Huang, et al.*2020 · 65 citations*](https://md.research.elamur.ai/free/en/papers/ko-2020-inquisitive-question-generation-high-level/)
910. **[RNNs can generate bounded hierarchical languages with optimal memory](https://md.research.elamur.ai/free/en/papers/hewitt-2020-rnns-can-generate-bounded-hierarchical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**John Hewitt, Michael Hahn, Surya Ganguli, et al.*2020 · 65 citations*
911. [**Evaluation of OpenAI o1: Opportunities and Challenges of AGI arXiv:2409.18486**Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.*2024 · 64 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2024-evaluation-openai-o1-opportunities-challenges/)
912. **[What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering](https://md.research.elamur.ai/free/en/papers/errica-2025-what-did-i-do-wrong/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Federico Errica, Davide Sanvito, Giuseppe Siracusano, et al.*2025 · 63 citations*
913. **[Cross-document Coreference Resolution over Predicted Mentions](https://md.research.elamur.ai/free/en/papers/cattan-2021-cross-document-coreference-resolution-over/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Arie Cattan, Alon Eirew, Gabriel Stanovsky, et al.*2021 · 63 citations*
914. [**ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation arXiv:2112.12731**Shuohuan Wang, Yu Sun, Yang Xiang, et al.*2021 · 63 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-ernie-3-0-titan/)
915. **[FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models](https://md.research.elamur.ai/free/en/papers/dobler-2023-focus-effective-embedding-initialization-monolingual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Konstantin Dobler, Gerard de Melo*2023 · 62 citations*
916. [**Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data Proceedings of the First International Workshop on Natural Language Processing Beyond Text**Xinyu Wang, Xiaowen Sun, Tan Yang, et al.*2020 · 62 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-building-bridge-method-image-text/)
917. **[Posing Fair Generalization Tasks for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/geiger-2019-posing-fair-generalization-tasks-natural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Atticus Geiger, Ignacio Cases, Lauri Karttunen, et al.*2019 · 61 citations*
918. [**Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning arXiv:2402.00530**Ming Li, Yong Zhang, Shwai He, et al.*2024 · 60 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-superfiltering-weak-strong-data-filtering/)
919. [**Shepherd: A Critic for Language Model Generation arXiv:2308.04592**Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, et al.*2023 · 60 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-shepherd-critic-language-model-generation/)
920. **[Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks](https://md.research.elamur.ai/free/en/papers/asai-2022-evidentiality-guided-generation-knowledge-intensive/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Akari Asai, Matt Gardner, Hannaneh Hajishirzi*2022 · 60 citations*
921. [**Simple linear attention language models balance the recall-throughput tradeoff arXiv:2402.18668**Simran Arora, Sabri Eyuboglu, Michael Zhang, et al.*2024 · 59 citations*](https://md.research.elamur.ai/free/en/papers/arora-2024-simple-linear-attention-language-models/)
922. [**Investigating the Catastrophic Forgetting in Multimodal Large Language Models arXiv:2309.10313**Yuexiang Zhai, Shengbang Tong, Xiao Li, et al.*2023 · 59 citations*](https://md.research.elamur.ai/free/en/papers/zhai-2023-investigating-catastrophic-forgetting-multimodal-large/)
923. **[Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/ma-2022-linguistic-rules-based-corpus-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shirong Ma, Yinghui Li, Rongyi Sun, et al.*2022 · 59 citations*
924. **[Target-Aware Data Augmentation for Stance Detection](https://md.research.elamur.ai/free/en/papers/li-2021-target-aware-data-augmentation-stance/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yingjie Li, Cornelia Caragea*2021 · 56 citations*
925. **[Hello Again! LLM-powered Personalized Agent for Long-term Dialogue](https://md.research.elamur.ai/free/en/papers/li-2025-hello-again-llm-powered-personalized/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hao Li, Chenghao Yang, An Zhang, et al.*2025 · 55 citations*
926. [**Zoology: Measuring and Improving Recall in Efficient Language Models arXiv:2312.04927**Simran Arora; Sabri Eyuboglu; Aman Timalsina; Isys Johnson; Michael Poli; James Zou; Atri Rudra;, Christopher Re*2023 · 55 citations*](https://md.research.elamur.ai/free/en/papers/arora-2023-zoology-measuring-improving-recall-efficient/)
927. [**Harnessing the linguistic signal to predict scalar inferences**Sebastian Schuster, Yuxing Chen, Judith Degen*2020 · 54 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2020-harnessing-linguistic-signal-predict-scalar/)
928. **[A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing](https://md.research.elamur.ai/free/en/papers/yan-2020-graph-based-model-joint-chinese/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Hang Yan, Xipeng Qiu, Xuanjing Huang*2020 · 53 citations*
929. **[The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue](https://md.research.elamur.ai/free/en/papers/haber-2019-photobook-dataset-building-common-ground/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Janosch Haber, Tim Baumgärtner, Ece Takmaz, et al.*2019 · 53 citations*
930. **[Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization](https://md.research.elamur.ai/free/en/papers/zhang-2024-agent-pro-learning-evolve-policy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqi Zhang, Ke Tang, Hai Wu, et al.*2024 · 52 citations*
931. [**From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models arXiv:2406.16838**Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.*2024 · 51 citations*](https://md.research.elamur.ai/free/en/papers/welleck-2024-decoding-meta-generation-inference-time/)
932. [**Self-Verification Improves Few-Shot Clinical Information Extraction arXiv:2306.00024 · IMLH 2023**Zelalem Gero, Chandan Singh, Hao Cheng, et al.*2023 · 51 citations*](https://md.research.elamur.ai/free/en/papers/gero-2023-self-verification-improves-few-shot/)
933. **[No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects](https://md.research.elamur.ai/free/en/papers/zhang-2019-no-army-no-navy-bert/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Chiyu Zhang, Muhammad Abdul-Mageed*2019 · 51 citations*
934. **[Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback](https://md.research.elamur.ai/free/en/papers/ivison-2024-unpacking-dpo-ppo-disentangling-best/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hamish Ivison, Yizhong Wang, Jiacheng Liu, et al.*2024 · 50 citations*
935. [**WebLINX: Real-World Website Navigation with Multi-Turn Dialogue arXiv:2402.05930**Xing Han Lu, Zden\vek Kasner, Siva Reddy*2024 · 50 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-weblinx-real-world-website-navigation/)
936. **[Word Embeddings Are Steers for Language Models](https://md.research.elamur.ai/free/en/papers/han-2024-word-embeddings-are-steers-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chi Han, Jialiang Xu, Manling Li, et al.*2024 · 49 citations*
937. **[ID10M: Idiom Identification in 10 Languages](https://md.research.elamur.ai/free/en/papers/tedeschi-2022-id10m-idiom-identification-10-languages/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Simone Tedeschi, Federico Martelli, Roberto Navigli*2022 · 49 citations*
938. [**PanGu-Coder: Program Synthesis with Function-Level Language Modeling arXiv:2207.11280**Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta, et al.*2022 · 49 citations*](https://md.research.elamur.ai/free/en/papers/christopoulou-2022-pangu-coder-program-synthesis/)
939. [**Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer**Eleftheria Briakou, Sweta Agrawal, Joel Tetreault, et al.*2021 · 49 citations*](https://md.research.elamur.ai/free/en/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/)
940. **[On the limit of English conversational speech recognition](https://md.research.elamur.ai/free/en/papers/tuske-2021-limit-english-conversational-speech-recognition/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Zoltan Tuske, George Saon, Brian Kingsbury*2021 · 49 citations*
941. **[Puzzle Solving using Reasoning of Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/giadikiaroglou-2024-puzzle-solving-reasoning-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, et al.*2024 · 48 citations*
942. [**A Neural Entity Coreference Resolution Review Expert Systems with Applications, Volume 168, 15 April 2021, 114,466**Nikolaos Stylianou, Ioannis Vlahavas*2019 · 48 citations*](https://md.research.elamur.ai/free/en/papers/stylianou-2019-neural-entity-coreference-resolution-review/)
943. **[Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2025-rethinking-kullback-leibler-divergence-knowledge/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Taiqiang Wu, Chaofan Tao, Jiahao Wang, et al.*2025 · 47 citations*
944. **[MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures](https://md.research.elamur.ai/free/en/papers/ni-2024-mixeval-deriving-wisdom-crowd-llm/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jinjie Ni, Fuzhao Xue, Xiang Yue, et al.*2024 · 47 citations*
945. **[NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes](https://md.research.elamur.ai/free/en/papers/fan-2024-nphardeval-dynamic-benchmark-reasoning-ability/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lizhou Fan, Wenyue Hua, Lingyao Li, et al.*2024 · 47 citations*
946. [**MIDAS: A Dialog Act Annotation Scheme for Open Domain Human-Machine Spoken Conversations**Dian Yu, Zhou Yu*2021 · 47 citations*](https://md.research.elamur.ai/free/en/papers/yu-2021-midas-dialog-act-annotation-scheme/)
947. [**Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation**Thiago Castro Ferreira, Iacer Calixto, Sander Wubben, et al.*2017 · 47 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2017-linguistic-realisation-as-machine-translation/)
948. [**Language models scale reliably with over-training and on downstream tasks arXiv:2403.08540**Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/gadre-2024-language-models-scale-reliably-over/)
949. **[SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning](https://md.research.elamur.ai/free/en/papers/jia-2024-soul-unlocking-power-second-order/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jinghan Jia, Yihua Zhang, Yimeng Zhang, et al.*2024 · 46 citations*
950. [**Stable LM 2 1.6B Technical Report arXiv:2402.17834**Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/bellagente-2024-stable-lm-2-1-6b/)
951. **[A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/bothe-2018-context-based-approach-dialogue-act/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Chandrakant Bothe, Cornelius Weber, Sven Magg, et al.*2018 · 46 citations*
952. **[Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments](https://md.research.elamur.ai/free/en/papers/stojanovski-2018-coreference-coherence-neural-machine-translation/) [Conference on Machine Translation: Research Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-research-papers/)**Dario Stojanovski, Alexander Fraser*2018 · 46 citations*
953. **[On the Effects of Using word2vec Representations in Neural Networks for Dialogue Act Recognition](https://md.research.elamur.ai/free/en/papers/cerisara-2020-effects-using-word2vec-representations-neural/) [Computer Speech & Language](https://md.research.elamur.ai/free/en/venues/computer-speech-language/)**Christophe Cerisara, Pavel Kral, Ladislav Lenc*2017 · 46 citations*
954. [**EuroLLM-9B: Technical Report arXiv:2506.04079**Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.*2025 · 45 citations*](https://md.research.elamur.ai/free/en/papers/martins-2025-eurollm-9b-technical-report/)
955. [**Scaling Laws for Generative Mixed-Modal Language Models arXiv:2301.03728**Armen Aghajanyan, Lili Yu, Alexis Conneau, et al.*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/aghajanyan-2023-scaling-laws-generative-mixed-modal/)
956. [**olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models arXiv:2502.18443**Jake Poznanski, Aman Rangapur, Jon Borchardt, et al.*2025 · 44 citations*](https://md.research.elamur.ai/free/en/papers/poznanski-2025-olmocr-unlocking-trillions-tokens-pdfs/)
957. **[Augmenting Math Word Problems via Iterative Question Composing](https://md.research.elamur.ai/free/en/papers/liu-2024-augmenting-math-word-problems-iterative/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Haoxiong Liu, Yifan Zhang, Yifan Luo, et al.*2024 · 44 citations*
958. [**HyperCLOVA X Technical Report arXiv:2404.01954**Kang Min Yoo, Jaegeun Han, Sookyo In, et al.*2024 · 44 citations*](https://md.research.elamur.ai/free/en/papers/yoo-2024-hyperclova-x-technical-report/)
959. [**LLM Pruning and Distillation in Practice: The Minitron Approach arXiv:2408.11796**Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj Joshi, et al.*2024 · 44 citations*](https://md.research.elamur.ai/free/en/papers/sreenivas-2024-llm-pruning-distillation-practice-minitron/)
960. **[RST Parsing from Scratch](https://md.research.elamur.ai/free/en/papers/nguyen-2021-rst-parsing-scratch/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty, et al.*2021 · 44 citations*
961. [**Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging**Nasser Zalmout, Nizar Habash*2020 · 44 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2020-joint-diacritization-lemmatization-normalization-fine/)
962. [**Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B**Jiaming Luo, Yuan Cao, Regina Barzilay*2019 · 44 citations*](https://md.research.elamur.ai/free/en/papers/luo-2019-neural-decipherment-minimum-cost-flow/)
963. **[End-to-end Argument Mining with Cross-corpora Multi-task Learning](https://md.research.elamur.ai/free/en/papers/morio-2022-end-end-argument-mining-cross/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Gaku Morio, Hiroaki Ozaki, Terufumi Morishita, et al.*2022 · 43 citations*
964. **[Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations](https://md.research.elamur.ai/free/en/papers/long-2022-facilitating-contrastive-learning-discourse-relational/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wanqiu Long, Bonnie Webber*2022 · 43 citations*
965. **[SciNLI: A Corpus for Natural Language Inference on Scientific Text](https://md.research.elamur.ai/free/en/papers/sadat-2022-scinli-corpus-natural-language-inference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mobashir Sadat, Cornelia Caragea*2022 · 43 citations*
966. **[Finding Generalizable Evidence by Learning to Convince Q&A Models](https://md.research.elamur.ai/free/en/papers/perez-2019-finding-generalizable-evidence-learning-convince/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ethan Perez, Siddharth Karamcheti, Rob Fergus, et al.*2019 · 43 citations*
967. [**Noise-Robust Morphological Disambiguation for Dialectal Arabic**Nasser Zalmout, Alexander Erdmann, Nizar Habash*2018 · 43 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2018-noise-robust-morphological-disambiguation-dialectal/)
968. [**A Mention-Ranking Model for Abstract Anaphora Resolution**Ana Marasović, Leo Born, Juri Opitz, et al.*2017 · 43 citations*](https://md.research.elamur.ai/free/en/papers/marasovic-2017-mention-ranking-model-abstract-anaphora/)
969. [**Goal Driven Discovery of Distributional Differences via Language Descriptions arXiv:2302.14233**Ruiqi Zhong, Peter Zhang, Steve Li, et al.*2023 · 42 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2023-goal-driven-discovery-distributional-differences/)
970. **[What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues](https://md.research.elamur.ai/free/en/papers/yu-2019-what-you-see-is-what/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xintong Yu, Hongming Zhang, Yangqiu Song, et al.*2019 · 42 citations*
971. **[Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story Evaluation](https://md.research.elamur.ai/free/en/papers/chhun-2024-do-language-models-enjoy-their/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Cyril Chhun, Fabian M. Suchanek, Chloé Clavel*2024 · 41 citations*
972. **[MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks](https://md.research.elamur.ai/free/en/papers/nie-2023-moca-measuring-human-language-model/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Allen Nie, Yuhui Zhang, Atharva Amdekar, et al.*2023 · 41 citations*
973. [**SALMON: Self-Alignment with Instructable Reward Models arXiv:2310.05910**Zhiqing Sun, Yikang Shen, Hongxin Zhang, et al.*2023 · 41 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-salmon-self-alignment-instructable-reward/)
974. [**The MiniPile Challenge for Data-Efficient Language Models arXiv:2304.08442**Jean Kaddour*2023 · 41 citations*](https://md.research.elamur.ai/free/en/papers/kaddour-2023-minipile-challenge-data-efficient-language/)
975. **[How Can Self-Attention Networks Recognize Dyck-n Languages?](https://md.research.elamur.ai/free/en/papers/ebrahimi-2020-how-can-self-attention-networks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Javid Ebrahimi, Dhruv Gelda, Wei Zhang*2020 · 41 citations*
976. **[Enabling Deep Learning of Emotion With First-Person Seed Expressions](https://md.research.elamur.ai/free/en/papers/alhuzali-2018-enabling-deep-learning-emotion-first/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Hassan Alhuzali, Muhammad Abdul-Mageed, Lyle Ungar*2018 · 41 citations*
977. **[A Systematic Survey of Automatic Prompt Optimization Techniques](https://md.research.elamur.ai/free/en/papers/ramnath-2025-systematic-survey-automatic-prompt-optimization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kiran Ramnath, Kang Zhou, Sheng Guan, et al.*2025 · 40 citations*
978. **[Automatic Evaluation and Analysis of Idioms in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/baziotis-2023-automatic-evaluation-analysis-idioms-neural/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Christos Baziotis, Prashant Mathur, Eva Hasler*2023 · 40 citations*
979. [**PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing arXiv:2303.10845**Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, et al.*2023 · 40 citations*](https://md.research.elamur.ai/free/en/papers/ren-2023-pangu-sigma-trillion-parameter/)
980. [**ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding arXiv:2210.06155**Qiming Peng, Yinxu Pan, Wenjin Wang, et al.*2022 · 40 citations*](https://md.research.elamur.ai/free/en/papers/peng-2022-ernie-layout-layout-knowledge/)
981. [**Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew**Adam Amram, Anat Ben David, Reut Tsarfaty*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/amram-2018-representations-architectures-neural-sentiment-analysis/)
982. [**NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model arXiv:2508.14444**NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.*2025 · 39 citations*](https://md.research.elamur.ai/free/en/papers/basant-2025-nvidia-nemotron-nano-2-accurate/)
983. [**Aligning Language Models with Preferences through f-divergence Minimization arXiv:2302.08215**Dongyoung Go, Tomasz Korbak, German Kruszewski, et al.*2023 · 39 citations*](https://md.research.elamur.ai/free/en/papers/go-2023-aligning-language-models-preferences-through/)
984. **[Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/li-2021-improving-stance-detection-multi-dataset/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yingjie Li, Chenye Zhao, Cornelia Caragea*2021 · 39 citations*
985. [**A Simple Joint Model for Improved Contextual Neural Lemmatization**Chaitanya Malaviya, Shijie Wu, Ryan Cotterell*2019 · 39 citations*](https://md.research.elamur.ai/free/en/papers/malaviya-2019-simple-joint-model-improved-contextual/)
986. **[Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks](https://md.research.elamur.ai/free/en/papers/varia-2019-discourse-relation-prediction-revisiting-word/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Siddharth Varia, Christopher Hidey, Tuhin Chakrabarty*2019 · 39 citations*
987. [**Arc-swift: A Novel Transition System for Dependency Parsing**Peng Qi, Christopher D. Manning*2017 · 39 citations*](https://md.research.elamur.ai/free/en/papers/qi-2017-arc-swift-novel-transition-system/)
988. **[Natural Language Inference from Multiple Premises](https://md.research.elamur.ai/free/en/papers/lai-2017-natural-language-inference-multiple-premises/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Alice Lai, Yonatan Bisk, Julia Hockenmaier*2017 · 39 citations*
989. [**Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models arXiv:2504.03624**NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar, et al.*2025 · 38 citations*](https://md.research.elamur.ai/free/en/papers/blakeman-2025-nemotron-h-family-accurate-efficient/)
990. **[CausalGym: Benchmarking causal interpretability methods on linguistic tasks](https://md.research.elamur.ai/free/en/papers/arora-2024-causalgym-benchmarking-causal-interpretability-methods/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aryaman Arora, Dan Jurafsky, Christopher Potts*2024 · 38 citations*
991. [**Can Language Models Employ the Socratic Method? Experiments with Code Debugging arXiv:2310.03210**Erfan Al-Hossami, Razvan Bunescu, Justin Smith, et al.*2023 · 38 citations*](https://md.research.elamur.ai/free/en/papers/al-hossami-2023-language-models-employ-socratic-method/)
992. **[Identifying inherent disagreement in natural language inference](https://md.research.elamur.ai/free/en/papers/zhang-2021-identifying-inherent-disagreement-natural-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xinliang Frederick Zhang, Marie-Catherine de Marneffe*2021 · 38 citations*
993. **[Automatic Prediction of Discourse Connectives](https://md.research.elamur.ai/free/en/papers/malmi-2018-automatic-prediction-discourse-connectives/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Eric Malmi, Daniele Pighin, Sebastian Krause, et al.*2018 · 38 citations*
994. **[Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering](https://md.research.elamur.ai/free/en/papers/si-2025-design2code-benchmarking-multimodal-code-generation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chenglei Si, Yanzhe Zhang, Ryan Li, et al.*2025 · 37 citations*
995. [**Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling**Nasser Zalmout, Nizar Habash*2019 · 37 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2019-adversarial-multitask-learning-joint-multi/)
996. **[Where's My Head? Definition, Data Set, and Models for Numeric Fused-Head Identification and Resolution](https://md.research.elamur.ai/free/en/papers/elazar-2019-where-s-my-head-definition/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yanai Elazar, Yoav Goldberg*2019 · 37 citations*
997. [**Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences arXiv:1810.13033**Atticus Geiger; Ignacio Cases; Lauri Karttunen;, Christopher Potts*2018 · 37 citations*](https://md.research.elamur.ai/free/en/papers/geiger-2018-stress-testing-neural-models-natural/)
998. **[Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution](https://md.research.elamur.ai/free/en/papers/liu-2017-generating-exploiting-large-scale-pseudo/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ting Liu, Yiming Cui, Qingyu Yin, et al.*2017 · 37 citations*
999. [**An Emulator for Fine-Tuning Large Language Models using Small Language Models arXiv:2310.12962**Eric Mitchell, Rafael Rafailov, Archit Sharma, et al.*2023 · 36 citations*](https://md.research.elamur.ai/free/en/papers/mitchell-2023-emulator-fine-tuning-large-language/)
1000. [**GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning**Zilong Zheng, Shuwen Qiu, Lifeng Fan, et al.*2021 · 36 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2021-grice-grammar-based-dataset-recovering/)

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