---
title: "Carnegie Mellon University — works, page 2"
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# Works of Carnegie Mellon University

278 works · page 2 of 3 · the most cited first · [← Carnegie Mellon University](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/)

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101. [**Visual Storytelling**Ting-Hao Kenneth Huang, Francis Ferraro, Nasrin Mostafazadeh, et al.*2016 · 344 citations*](https://md.research.elamur.ai/free/en/papers/huang-2016-visual-storytelling/)
102. [**SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization**Yixin Liu, Pengfei Liu*2021 · 340 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-simcls-simple-framework-contrastive-learning/)
103. [**Generating Natural Questions About an Image**Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, et al.*2016 · 339 citations*](https://md.research.elamur.ai/free/en/papers/mostafazadeh-2016-generating-natural-questions-about-image/)
104. [**Parsing English with a Link Grammar**Daniel D. Sleator, Davy Temperley*1993 · 339 citations*](https://md.research.elamur.ai/free/en/papers/sleator-1993-parsing-english-link-grammar/)
105. [**Toward Abstractive Summarization Using Semantic Representations**Fei Liu, Jeffrey Flanigan, Sam Thomson, et al.*2015 · 337 citations*](https://md.research.elamur.ai/free/en/papers/liu-2015-abstractive-summarization-semantic-representations/)
106. [**The Creation and Analysis of a Website Privacy Policy Corpus**Shomir Wilson, Florian Schaub, Aswarth Abhilash Dara, et al.*2016 · 336 citations*](https://md.research.elamur.ai/free/en/papers/wilson-2016-creation-analysis-website-privacy-policy/)
107. [**Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages**Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, et al.*2020 · 333 citations*](https://md.research.elamur.ai/free/en/papers/nekoto-2020-participatory-research-low-resourced-machine/)
108. [**Problems With Evaluation of Word Embeddings Using Word Similarity Tasks**Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, et al.*2016 · 332 citations*](https://md.research.elamur.ai/free/en/papers/faruqui-2016-problems-evaluation-word-embeddings-word/)
109. [**Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings**Thomas Manzini, Lim Yao Chong, Alan W Black, et al.*2019 · 332 citations*](https://md.research.elamur.ai/free/en/papers/manzini-2019-black-is-criminal-as-caucasian/)
110. [**Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval**Luyu Gao, Jamie Callan*2022 · 328 citations*](https://md.research.elamur.ai/free/en/papers/gao-2022-unsupervised-corpus-aware-language-model/)
111. [**RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning**Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.*2022 · 327 citations*](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/)
112. [**A Dataset for Document Grounded Conversations**Kangyan Zhou, Shrimai Prabhumoye, Alan W Black*2018 · 324 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2018-dataset-document-grounded-conversations/)
113. [**Controlling Output Length in Neural Encoder-Decoders**Yuta Kikuchi, Graham Neubig, Ryohei Sasano, et al.*2016 · 323 citations*](https://md.research.elamur.ai/free/en/papers/kikuchi-2016-controlling-output-length-neural-encoder/)
114. [**Rapid Adaptation of Neural Machine Translation to New Languages**Graham Neubig, Junjie Hu*2018 · 320 citations*](https://md.research.elamur.ai/free/en/papers/neubig-2018-rapid-adaptation-neural-machine-translation/)
115. [**GSum: A General Framework for Guided Neural Abstractive Summarization**Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.*2021 · 317 citations*](https://md.research.elamur.ai/free/en/papers/dou-2021-gsum-general-framework-guided-neural/)
116. [**Joint Extraction of Events and Entities within a Document Context**Bishan Yang, Tom M. Mitchell*2016 · 317 citations*](https://md.research.elamur.ai/free/en/papers/yang-2016-joint-extraction-events-entities-within/)
117. [**Choosing Transfer Languages for Cross-Lingual Learning**Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, et al.*2019 · 313 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-choosing-transfer-languages-cross-lingual/)
118. [**Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow**Pengcheng Yin, Bowen Deng, Edgar Chen, et al.*2018 · 306 citations*](https://md.research.elamur.ai/free/en/papers/yin-2018-learning-mine-aligned-code-natural/)
119. [**From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models**Shangbin Feng, Chan Young Park, Yuhan Liu, et al.*2023 · 305 citations*](https://md.research.elamur.ai/free/en/papers/feng-2023-pretraining-data-language-models-downstream/)
120. [**PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts**Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.*2023 · 301 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-promptrobust-towards-evaluating-robustness-large/)
121. [**ALFWorld: Aligning Text and Embodied Environments for Interactive Learning**Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, et al.*2020 · 299 citations*](https://md.research.elamur.ai/free/en/papers/shridhar-2020-alfworld-aligning-text-embodied-environments/)
122. [**A Dependency Parser for Tweets**Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, et al.*2014 · 298 citations*](https://md.research.elamur.ai/free/en/papers/kong-2014-dependency-parser-tweets/)
123. [**Incorporating Discrete Translation Lexicons into Neural Machine Translation**Philip Arthur, Graham Neubig, Satoshi Nakamura*2016 · 298 citations*](https://md.research.elamur.ai/free/en/papers/arthur-2016-incorporating-discrete-translation-lexicons-into/)
124. [**Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering**Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, et al.*2020 · 295 citations*](https://md.research.elamur.ai/free/en/papers/feng-2020-scalable-multi-hop-relational-reasoning/)
125. [**SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation**Xinyi Wang, Hieu Pham, Zihang Dai, et al.*2018 · 287 citations*](https://md.research.elamur.ai/free/en/papers/wang-2018-switchout-efficient-data-augmentation-algorithm/)
126. [**Learning to Translate in Real-time with Neural Machine Translation**Jiatao Gu, Graham Neubig, Kyunghyun Cho, et al.*2017 · 286 citations*](https://md.research.elamur.ai/free/en/papers/gu-2017-learning-translate-real-time-neural/)
127. [**A Bayesian Mixed Effects Model of Literary Character**David Bamman, Ted Underwood, Noah A. Smith*2014 · 285 citations*](https://md.research.elamur.ai/free/en/papers/bamman-2014-bayesian-mixed-effects-model-literary/)
128. [**Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation**Sameer Pradhan, Xiaoqiang Luo, Marta Recasens, et al.*2014 · 284 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2014-scoring-coreference-partitions-predicted-mentions/)
129. [**USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation**Shikib Mehri, Maxine Eskenazi*2020 · 283 citations*](https://md.research.elamur.ai/free/en/papers/mehri-2020-usr-unsupervised-reference-free-evaluation/)
130. [**Fine-grained Fact Verification with Kernel Graph Attention Network**Zhenghao Liu, Chenyan Xiong, Maosong Sun, et al.*2020 · 282 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-fine-grained-fact-verification-kernel/)
131. [**MEGA: Multilingual Evaluation of Generative AI**Kabir Ahuja, Harshita Diddee, Rishav Hada, et al.*2023 · 281 citations*](https://md.research.elamur.ai/free/en/papers/ahuja-2023-mega-multilingual-evaluation-generative-ai/)
132. [**Paraphrase Identification as Probabilistic Quasi-Synchronous Recognition**Dipanjan Das, Noah A. Smith*2009 · 276 citations*](https://md.research.elamur.ai/free/en/papers/das-2009-paraphrase-identification-as-probabilistic-quasi/)
133. [**Parser Combination by Reparsing**Kenji Sagae, Alon Lavie*2006 · 276 citations*](https://md.research.elamur.ai/free/en/papers/sagae-2006-parser-combination-reparsing/)
134. [**Llemma: An Open Language Model For Mathematics**Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.*2023 · 275 citations*](https://md.research.elamur.ai/free/en/papers/azerbayev-2023-llemma-open-language-model-mathematics/)
135. [**A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications**Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, et al.*2018 · 274 citations*](https://md.research.elamur.ai/free/en/papers/kang-2018-dataset-peer-reviews-peerread-collection/)
136. [**Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads**Tianle Cai, Yuhong Li, Zhengyang Geng, et al.*2024 · 271 citations*](https://md.research.elamur.ai/free/en/papers/cai-2024-medusa-simple-llm-inference-acceleration/)
137. [**Handling Divergent Reference Texts when Evaluating Table-to-Text Generation**Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, et al.*2019 · 266 citations*](https://md.research.elamur.ai/free/en/papers/dhingra-2019-handling-divergent-reference-texts-when/)
138. [**Towards Understanding and Mitigating Social Biases in Language Models**Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.*2021 · 263 citations*](https://md.research.elamur.ai/free/en/papers/liang-2021-towards-understanding-mitigating-social-biases/)
139. [**Condenser: a Pre-training Architecture for Dense Retrieval**Luyu Gao, Jamie Callan*2021 · 261 citations*](https://md.research.elamur.ai/free/en/papers/gao-2021-condenser-pre-training-architecture-dense/)
140. [**DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines**Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.*2023 · 261 citations*](https://md.research.elamur.ai/free/en/papers/khattab-2023-dspy-compiling-declarative-language-model/)
141. [**Towards Debiasing Sentence Representations**Paul Pu Liang, Irene Mengze Li, Emily Zheng, et al.*2020 · 259 citations*](https://md.research.elamur.ai/free/en/papers/liang-2020-debiasing-sentence-representations/)
142. [**Re-evaluating Evaluation in Text Summarization**Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.*2020 · 256 citations*](https://md.research.elamur.ai/free/en/papers/bhandari-2020-re-evaluating-evaluation-text-summarization/)
143. [**Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual**He He, Sheng Zha, Haohan Wang*2019 · 254 citations*](https://md.research.elamur.ai/free/en/papers/he-2019-unlearn-dataset-bias-natural-language/)
144. [**Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models**Harsh Jhamtani, Varun Gangal, Eduard Hovy, et al.*2017 · 251 citations*](https://md.research.elamur.ai/free/en/papers/jhamtani-2017-shakespearizing-modern-language-copy-enriched/)
145. [**Neural Cross-Lingual Named Entity Recognition with Minimal Resources**Jiateng Xie, Zhilin Yang, Graham Neubig, et al.*2018 · 247 citations*](https://md.research.elamur.ai/free/en/papers/xie-2018-neural-cross-lingual-named-entity/)
146. [**Contrastive Decoding: Open-ended Text Generation as Optimization**Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al.*2022 · 246 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-contrastive-decoding-open-ended-text/)
147. [**Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model**Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.*2024 · 245 citations*](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/)
148. [**Factuality Challenges in the Era of Large Language Models**Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.*2023 · 241 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/)
149. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
150. [**LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset**Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.*2023 · 235 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-lmsys-chat-1m-large-scale/)
151. [**Politeness Transfer: A Tag and Generate Approach**Aman Madaan, Amrith Setlur, Tanmay Parekh, et al.*2020 · 234 citations*](https://md.research.elamur.ai/free/en/papers/madaan-2020-politeness-transfer-tag-generate-approach/)
152. [**Adaptation of the translation model for statistical machine translation based on information retrieval**Almut Silja Hildebrand, Matthias Eck, Stephan Vogel, et al.*2005 · 230 citations*](https://md.research.elamur.ai/free/en/papers/hildebrand-2005-adaptation-translation-model-statistical-machine/)
153. [**Detecting Hallucinated Content in Conditional Neural Sequence Generation**Chunting Zhou, Graham Neubig, Jiatao Gu, et al.*2021 · 229 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2021-detecting-hallucinated-content-conditional-neural/)
154. [**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/)
155. [**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/)
156. [**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/)
157. [**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/)
158. [**Beyond BLEU: Training Neural Machine Translation with Semantic Similarity**John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, et al.*2019 · 220 citations*](https://md.research.elamur.ai/free/en/papers/wieting-2019-beyond-bleu-training-neural-machine/)
159. [**Systematic Inequalities in Language Technology Performance across the World's Languages**Damian Blasi, Antonios Anastasopoulos, Graham Neubig*2022 · 214 citations*](https://md.research.elamur.ai/free/en/papers/blasi-2022-systematic-inequalities-language-technology-performance/)
160. [**Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints**Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein*2016 · 209 citations*](https://md.research.elamur.ai/free/en/papers/durrett-2016-learning-based-single-document-summarization/)
161. [**A Classifier-Based Parser with Linear Run-Time Complexity**Kenji Sagae, Alon Lavie*2005 · 207 citations*](https://md.research.elamur.ai/free/en/papers/sagae-2005-classifier-based-parser-linear-run/)
162. [**Recursive Deep Models for Discourse Parsing**Jiwei Li, Rumeng Li, Eduard Hovy*2014 · 206 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-recursive-deep-models-discourse-parsing/)
163. [**Towards a Unified Multi-Dimensional Evaluator for Text Generation**Ming Zhong, Yang Liu, Da Yin, et al.*2022 · 204 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2022-unified-multi-dimensional-evaluator-text/)
164. [**Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data**Adithya Pratapa, Gayatri Bhat, Monojit Choudhury, et al.*2018 · 202 citations*](https://md.research.elamur.ai/free/en/papers/pratapa-2018-language-modeling-code-mixing-role/)
165. [**SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization**Hyunwoo Kim, Jack Hessel, Liwei Jiang, et al.*2023 · 201 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-soda-million-scale-dialogue-distillation/)
166. [**CTRLsum: Towards Generic Controllable Text Summarization**Junxian He, Wojciech Kryscinski, Bryan McCann, et al.*2022 · 199 citations*](https://md.research.elamur.ai/free/en/papers/he-2022-ctrlsum-generic-controllable-text-summarization/)
167. [**Scalable Extraction of Training Data from (Production) Language Models**Milad Nasr, Nicholas Carlini, Jonathan Hayase, et al.*2023 · 197 citations*](https://md.research.elamur.ai/free/en/papers/nasr-2023-scalable-extraction-training-data-production/)
168. [**Generative Data Augmentation for Commonsense Reasoning**Yiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.*2020 · 194 citations*](https://md.research.elamur.ai/free/en/papers/yang-2020-generative-data-augmentation-commonsense-reasoning/)
169. [**Fine-Grained Arabic Dialect Identification**Mohammad Salameh, Houda Bouamor, Nizar Habash*2018 · 191 citations*](https://md.research.elamur.ai/free/en/papers/salameh-2018-fine-grained-arabic-dialect-identification/)
170. [**compare-mt: A Tool for Holistic Comparison of Language Generation Systems**Graham Neubig, Zi-Yi Dou, Junjie Hu, et al.*2019 · 185 citations*](https://md.research.elamur.ai/free/en/papers/neubig-2019-compare-mt-tool-holistic-comparison/)
171. [**ISO 24617-2: A semantically-based standard for dialogue annotation**Harry Bunt, Jan Alexandersson, Jae-Woong Choe, et al.*2012 · 182 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2012-iso-24617-2-semantically-based/)
172. [**Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions**Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov*2020 · 180 citations*](https://md.research.elamur.ai/free/en/papers/han-2020-explaining-black-box-predictions-unveiling/)
173. [**Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation**Shivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.*2025 · 179 citations*](https://md.research.elamur.ai/free/en/papers/singh-2025-global-mmlu-understanding-addressing-cultural/)
174. [**Investigating Cultural Alignment of Large Language Models**Badr AlKhamissi, Muhammad ElNokrashy, Mai Alkhamissi, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/alkhamissi-2024-investigating-cultural-alignment-large-language/)
175. [**Findings of the IWSLT 2022 Evaluation Campaign**Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al.*2022 · 177 citations*](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2022-findings-iwslt-2022-evaluation-campaign/)
176. [**A Multidialectal Parallel Corpus of Arabic**Houda Bouamor, Nizar Habash, Kemal Oflazer*2014 · 175 citations*](https://md.research.elamur.ai/free/en/papers/bouamor-2014-multidialectal-parallel-corpus-arabic/)
177. [**Epitran: Precision G2P for Many Languages**David R. Mortensen, Siddharth Dalmia, Patrick Littell*2018 · 167 citations*](https://md.research.elamur.ai/free/en/papers/mortensen-2018-epitran-precision-g2p-many-languages/)
178. [**Effective Parallel Corpus Mining using Bilingual Sentence Embeddings**Mandy Guo, Qinlan Shen, Yinfei Yang, et al.*2018 · 166 citations*](https://md.research.elamur.ai/free/en/papers/guo-2018-effective-parallel-corpus-mining-bilingual/)
179. [**Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models**Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.*2023 · 164 citations*](https://md.research.elamur.ai/free/en/papers/ahia-2023-do-all-languages-cost-same/)
180. [**PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts**Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.*2022 · 164 citations*](https://md.research.elamur.ai/free/en/papers/bach-2022-promptsource-integrated-development-environment-repository/)
181. [**Stronger Baselines for Trustable Results in Neural Machine Translation**Michael Denkowski, Graham Neubig*2017 · 164 citations*](https://md.research.elamur.ai/free/en/papers/denkowski-2017-stronger-baselines-trustable-results-neural/)
182. [**AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages**Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, et al.*2022 · 163 citations*](https://md.research.elamur.ai/free/en/papers/ebrahimi-2022-americasnli-evaluating-zero-shot-natural/)
183. [**BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions**Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.*2024 · 163 citations*](https://md.research.elamur.ai/free/en/papers/zhuo-2024-bigcodebench-benchmarking-code-generation-diverse/)
184. [**On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment**Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov*2020 · 161 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-negative-interference-multilingual-models-findings/)
185. [**Large Scale Arabic Error Annotation: Guidelines and Framework**Wajdi Zaghouani, Behrang Mohit, Nizar Habash, et al.*2014 · 160 citations*](https://md.research.elamur.ai/free/en/papers/zaghouani-2014-large-scale-arabic-error-annotation/)
186. [**Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut**Nathan Schneider, Emily Danchik, Chris Dyer, et al.*2014 · 159 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2014-discriminative-lexical-semantic-segmentation-gaps/)
187. [**FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios**I-Chun Chern, Steffi Chern, Shiqi Chen, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/chern-2023-factool-factuality-detection-generative-ai/)
188. [**Unsupervised Text Style Transfer using Language Models as Discriminators**Zichao Yang, Zhiting Hu, Chris Dyer, et al.*2018 · 157 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-unsupervised-text-style-transfer-using/)
189. [**The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation**Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al.*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2023-devil-is-errors-leveraging-large/)
190. [**VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks**Jing Yu Koh, Robert Lo, Lawrence Jang, et al.*2024 · 156 citations*](https://md.research.elamur.ai/free/en/papers/koh-2024-visualwebarena-evaluating-multimodal-agents-realistic/)
191. [**A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/)
192. [**LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding**Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, et al.*2024 · 155 citations*](https://md.research.elamur.ai/free/en/papers/elhoushi-2024-layerskip-enabling-early-exit-inference/)
193. [**Generation from Abstract Meaning Representation using Tree Transducers**Jeffrey Flanigan, Chris Dyer, Noah A. Smith, et al.*2016 · 152 citations*](https://md.research.elamur.ai/free/en/papers/flanigan-2016-generation-abstract-meaning-representation-tree/)
194. [**ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages**Nathaniel Robinson, Perez Ogayo, David R. Mortensen, et al.*2023 · 151 citations*](https://md.research.elamur.ai/free/en/papers/robinson-2023-chatgpt-mt-competitive-high-but/)
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