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# Works of Allen Institute for Artificial Intelligence

169 works · page 2 of 2 · the most cited first · [← Allen Institute for Artificial Intelligence](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/)

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101. [**Fine-Grained Human Feedback Gives Better Rewards for Language Model Training**Zeqiu Wu, Yushi Hu, Weijia Shi, et al.*2023 · 212 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-fine-grained-human-feedback-gives/)
102. [**OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models**Anas Awadalla, Irena Gao, Josh Gardner, et al.*2023 · 209 citations*](https://md.research.elamur.ai/free/en/papers/awadalla-2023-openflamingo-open-source-framework-training/)
103. [**Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning**Pan Lu, Liang Qiu, Kai-Wei Chang, et al.*2022 · 209 citations*](https://md.research.elamur.ai/free/en/papers/lu-2022-dynamic-prompt-learning-policy-gradient/)
104. [**A Diagram Is Worth A Dozen Images**Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al.*2016 · 207 citations*](https://md.research.elamur.ai/free/en/papers/kembhavi-2016-diagram-worth-dozen-images/)
105. [**XOR QA: Cross-lingual Open-Retrieval Question Answering**Akari Asai, Jungo Kasai, Jonathan Clark, et al.*2021 · 206 citations*](https://md.research.elamur.ai/free/en/papers/asai-2021-xor-qa-cross-lingual-open/)
106. [**Explaining Answers with Entailment Trees**Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, et al.*2021 · 206 citations*](https://md.research.elamur.ai/free/en/papers/dalvi-2021-explaining-answers-entailment-trees/)
107. [**PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization**Wen Xiao, Iz Beltagy, Giuseppe Carenini, et al.*2022 · 204 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2022-primera-pyramid-based-masked-sentence/)
108. [**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/)
109. [**Neural Metaphor Detection in Context**Ge Gao, Eunsol Choi, Yejin Choi, et al.*2018 · 198 citations*](https://md.research.elamur.ai/free/en/papers/gao-2018-neural-metaphor-detection-context/)
110. [**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/)
111. [**Making Retrieval-Augmented Language Models Robust to Irrelevant Context**Ori Yoran, Tomer Wolfson, Ori Ram, et al.*2023 · 193 citations*](https://md.research.elamur.ai/free/en/papers/yoran-2023-making-retrieval-augmented-language-models/)
112. [**One Embedder, Any Task: Instruction-Finetuned Text Embeddings**Hongjin Su, Weijia Shi, Jungo Kasai, et al.*2022 · 191 citations*](https://md.research.elamur.ai/free/en/papers/su-2022-one-embedder-any-task-instruction/)
113. [**Challenges in Automated Debiasing for Toxic Language Detection**Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, et al.*2021 · 190 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2021-challenges-automated-debiasing-toxic-language/)
114. [**Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models**Matt Deitke, Christopher Clark, Sangho Lee, et al.*2024 · 184 citations*](https://md.research.elamur.ai/free/en/papers/deitke-2024-molmo-pixmo-open-weights-open/)
115. [**LILA: A Unified Benchmark for Mathematical Reasoning**Swaroop Mishra, Matthew Finlayson, Pan Lu, et al.*2022 · 176 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2022-lila-unified-benchmark-mathematical-reasoning/)
116. [**Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs**Albert Q. Jiang, Sean Welleck, Jin Peng Zhou, et al.*2022 · 175 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2022-draft-sketch-prove-guiding-formal/)
117. [**Generating Sequences by Learning to Self-Correct**Sean Welleck, Ximing Lu, Peter West, et al.*2022 · 170 citations*](https://md.research.elamur.ai/free/en/papers/welleck-2022-generating-sequences-learning-self-correct/)
118. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 166 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
119. [**Binding Language Models in Symbolic Languages**Zhoujun Cheng, Tianbao Xie, Peng Shi, et al.*2022 · 165 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2022-binding-language-models-symbolic-languages/)
120. [**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/)
121. [**Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning**Yasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.*2022 · 162 citations*](https://md.research.elamur.ai/free/en/papers/razeghi-2022-impact-pretraining-term-frequencies-few/)
122. [**SCROLLS: Standardized CompaRison Over Long Language Sequences**Uri Shaham, Elad Segal, Maor Ivgi, et al.*2022 · 162 citations*](https://md.research.elamur.ai/free/en/papers/shaham-2022-scrolls-standardized-comparison-over-long/)
123. [**ProsocialDialog: A Prosocial Backbone for Conversational Agents**Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.*2022 · 149 citations*](https://md.research.elamur.ai/free/en/papers/kim-2022-prosocialdialog-prosocial-backbone-conversational-agents/)
124. [**The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset**Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2023-bigscience-roots-corpus-1-6tb/)
125. [**In-Context Learning for Few-Shot Dialogue State Tracking**Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, et al.*2022 · 144 citations*](https://md.research.elamur.ai/free/en/papers/hu-2022-context-learning-few-shot-dialogue/)
126. [**UNQOVERing Stereotyping Biases via Underspecified Questions**Tao Li, Daniel Khashabi, Tushar Khot, et al.*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-unqovering-stereotyping-biases-underspecified-questions/)
127. [**Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing**Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.*2024 · 144 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-magpie-alignment-data-synthesis-scratch/)
128. [**Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples**Vidur Joshi, Matthew Peters, Mark Hopkins*2018 · 139 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2018-extending-parser-distant-domains-few/)
129. [**Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step**Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-symbolic-chain-thought-distillation-small/)
130. [**The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning**Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-unlocking-spell-base-llms-rethinking/)
131. [**Investigating Data Contamination in Modern Benchmarks for Large Language Models**Chunyuan Deng, Yilun Zhao, Xiangru Tang, et al.*2024 · 137 citations*](https://md.research.elamur.ai/free/en/papers/deng-2024-investigating-data-contamination-modern-benchmarks/)
132. [**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/)
133. [**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/)
134. [**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/)
135. [**Extracting Latent Steering Vectors from Pretrained Language Models**Nishant Subramani, Nivedita Suresh, Matthew Peters*2022 · 131 citations*](https://md.research.elamur.ai/free/en/papers/subramani-2022-extracting-latent-steering-vectors-pretrained/)
136. [**Analyzing Transformers in Embedding Space**Guy Dar, Mor Geva, Ankit Gupta, et al.*2023 · 129 citations*](https://md.research.elamur.ai/free/en/papers/dar-2023-analyzing-transformers-embedding-space/)
137. [**SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding**Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.*2024 · 126 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-safedecoding-defending-against-jailbreak-attacks/)
138. [**Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation**Atticus Geiger, Kyle Richardson, Christopher Potts*2020 · 112 citations*](https://md.research.elamur.ai/free/en/papers/geiger-2020-neural-natural-language-inference-models/)
139. [**LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization**Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.*2023 · 112 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2023-longeval-guidelines-human-evaluation-faithfulness/)
140. [**Crowdsourcing Question-Answer Meaning Representations**Julian Michael, Gabriel Stanovsky, Luheng He, et al.*2018 · 112 citations*](https://md.research.elamur.ai/free/en/papers/michael-2018-crowdsourcing-question-answer-meaning-representations/)
141. [**Olmo 3**Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.*2025 · 109 citations*](https://md.research.elamur.ai/free/en/papers/ettinger-2025-olmo-3/)
142. [**Uncertain Natural Language Inference**Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.*2020 · 103 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-uncertain-natural-language-inference/)
143. [**Probing Natural Language Inference Models through Semantic Fragments**Kyle Richardson, Hai Hu, Lawrence S. Moss, et al.*2019 · 102 citations*](https://md.research.elamur.ai/free/en/papers/richardson-2019-probing-natural-language-inference-models/)
144. [**It's not Rocket Science: Interpreting Figurative Language in Narratives**Tuhin Chakrabarty, Yejin Choi, Vered Shwartz*2022 · 91 citations*](https://md.research.elamur.ai/free/en/papers/chakrabarty-2022-it-s-not-rocket-science/)
145. [**PySBD: Pragmatic Sentence Boundary Disambiguation**Nipun Sadvilkar, Mark Neumann*2020 · 89 citations*](https://md.research.elamur.ai/free/en/papers/sadvilkar-2020-pysbd-pragmatic-sentence-boundary-disambiguation/)
146. [**Controlled Crowdsourcing for High-Quality QA-SRL Annotation**Paul Roit, Ayal Klein, Daniela Stepanov, et al.*2020 · 84 citations*](https://md.research.elamur.ai/free/en/papers/roit-2020-controlled-crowdsourcing-high-quality-qa/)
147. [**QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines**Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, et al.*2020 · 77 citations*](https://md.research.elamur.ai/free/en/papers/pyatkin-2020-qadiscourse-discourse-relations-as-qa/)
148. [**CREPE: Open-Domain Question Answering with False Presuppositions**Xinyan Yu, Sewon Min, Luke Zettlemoyer, et al.*2023 · 67 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-crepe-open-domain-question-answering/)
149. [**Understanding Transformer Memorization Recall Through Idioms**Adi Haviv, Ido Cohen, Jacob Gidron, et al.*2023 · 62 citations*](https://md.research.elamur.ai/free/en/papers/haviv-2023-understanding-transformer-memorization-recall-through/)
150. [**Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks**Akari Asai, Matt Gardner, Hannaneh Hajishirzi*2022 · 60 citations*](https://md.research.elamur.ai/free/en/papers/asai-2022-evidentiality-guided-generation-knowledge-intensive/)
151. [**LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution**Shon Otmazgin, Arie Cattan, Yoav Goldberg*2023 · 54 citations*](https://md.research.elamur.ai/free/en/papers/otmazgin-2023-lingmess-linguistically-informed-multi-expert/)
152. [**Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model**Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban*2023 · 47 citations*](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-chatgpt-wugs-morphology/)
153. [**Paraphrasing vs Coreferring: Two Sides of the Same Coin**Yehudit Meged, Avi Caciularu, Vered Shwartz, et al.*2020 · 47 citations*](https://md.research.elamur.ai/free/en/papers/meged-2020-paraphrasing-vs-coreferring-two-sides/)
154. [**F-coref: Fast, Accurate and Easy to Use Coreference Resolution**Shon Otmazgin, Arie Cattan, Yoav Goldberg*2022 · 45 citations*](https://md.research.elamur.ai/free/en/papers/otmazgin-2022-f-coref-fast-accurate-easy/)
155. [**Active Learning for Coreference Resolution using Discrete Annotation**Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer*2020 · 36 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-active-learning-coreference-resolution-discrete/)
156. [**Ontology-Aware Token Embeddings for Prepositional Phrase Attachment**Pradeep Dasigi, Waleed Ammar, Chris Dyer, et al.*2017 · 35 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2017-ontology-aware-token-embeddings-prepositional/)
157. [**Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing**Jaehun Jung, Peter West, Liwei Jiang, et al.*2023 · 33 citations*](https://md.research.elamur.ai/free/en/papers/jung-2023-impossible-distillation-low-quality-model/)
158. [**Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All**Eylon Gueta, Avi Shmidman, Shaltiel Shmidman, et al.*2022 · 28 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2022-large-pre-trained-models-extra/)
159. [**Adposition and Case Supersenses v2.6: Guidelines for English**Nathan Schneider, Jena D. Hwang, Vivek Srikumar, et al.*2017 · 28 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2017-adposition-case-supersenses-v2-6/)
160. [**IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions**Wenhao Yu, Meng Jiang, Peter Clark, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-ifqa-dataset-open-domain-question/)
161. [**Nakdan: Professional Hebrew Diacritizer**Avi Shmidman, Shaltiel Shmidman, Moshe Koppel, et al.*2020 · 23 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2020-nakdan-professional-hebrew-diacritizer/)
162. [**Large Scale Substitution-based Word Sense Induction**Matan Eyal, Shoval Sadde, Hillel Taub-Tabib, et al.*2022 · 21 citations*](https://md.research.elamur.ai/free/en/papers/eyal-2022-substitution-wsi/)
163. [**pyBART: Evidence-based Syntactic Transformations for IE**Aryeh Tiktinsky, Yoav Goldberg, Reut Tsarfaty*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/tiktinsky-2020-pybart-evidence-based-syntactic-transformations/)
164. [**StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements**Jillian Fisher, Skyler Hallinan, Ximing Lu, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/fisher-2024-styleremix-interpretable-authorship-obfuscation-distillation/)
165. [**HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark**Amir DN Cohen, Hilla Merhav, Yoav Goldberg, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2023-heq-large-diverse-hebrew-reading/)
166. [**A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration**Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.*2020 · 6 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2020-novel-challenge-set-hebrew-morphological/)
167. [**Detecting Syntactic Change Using a Neural Part-of-Speech Tagger**William Merrill, Gigi Stark, Robert Frank*2019 · 4 citations*](https://md.research.elamur.ai/free/en/papers/merrill-2019-detecting-syntactic-change-neural-part/)
168. [**A Curious Class of Adpositional Multiword Expressions in Korean**Junghyun Min, Na-Rae Han, Jena D. Hwang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/min-2026-curious-class-adpositional-multiword-expressions/)
169. [**Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs**William Sheffield, Kanishka Misra, Valentina Pyatkin, et al.*2025*](https://md.research.elamur.ai/free/en/papers/sheffield-2025-is-it-textit-just-semantics/)

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