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Tanya Goyal
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2020 – today
- 2024
- [c23]Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao:
LitSearch: A Retrieval Benchmark for Scientific Literature Search. EMNLP 2024: 15068-15083 - [c22]Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, Mohit Iyyer:
One Thousand and One Pairs: A "novel" challenge for long-context language models. EMNLP 2024: 17048-17085 - [c21]Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer:
BooookScore: A systematic exploration of book-length summarization in the era of LLMs. ICLR 2024 - [c20]Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen:
Evaluating Large Language Models at Evaluating Instruction Following. ICLR 2024 - [i21]Yekyung Kim, Yapei Chang, Marzena Karpinska, Aparna Garimella, Varun Manjunatha, Kyle Lo, Tanya Goyal, Mohit Iyyer:
FABLES: Evaluating faithfulness and content selection in book-length summarization. CoRR abs/2404.01261 (2024) - [i20]Prasann Singhal, Nathan Lambert, Scott Niekum, Tanya Goyal, Greg Durrett:
D2PO: Discriminator-Guided DPO with Response Evaluation Models. CoRR abs/2405.01511 (2024) - [i19]Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, Mohit Iyyer:
One Thousand and One Pairs: A "novel" challenge for long-context language models. CoRR abs/2406.16264 (2024) - [i18]Wenting Zhao, Tanya Goyal, Yu Ying Chiu, Liwei Jiang, Benjamin Newman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Ronan Le Bras, Claire Cardie, Yuntian Deng, Yejin Choi:
WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries. CoRR abs/2407.17468 (2024) - [i17]Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao:
LitSearch: A Retrieval Benchmark for Scientific Literature Search. CoRR abs/2407.18940 (2024) - [i16]Fangyuan Xu, Tanya Goyal, Eunsol Choi:
Recycled Attention: Efficient inference for long-context language models. CoRR abs/2411.05787 (2024) - 2023
- [c19]Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett:
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. ACL (1) 2023: 11626-11644 - [c18]Ryo Kamoi, Tanya Goyal, Greg Durrett:
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. EACL 2023: 132-146 - [c17]Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett:
WiCE: Real-World Entailment for Claims in Wikipedia. EMNLP 2023: 7561-7583 - [i15]Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett:
WiCE: Real-World Entailment for Claims in Wikipedia. CoRR abs/2303.01432 (2023) - [i14]Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer:
BooookScore: A systematic exploration of book-length summarization in the era of LLMs. CoRR abs/2310.00785 (2023) - [i13]Prasann Singhal, Tanya Goyal, Jiacheng Xu, Greg Durrett:
A Long Way to Go: Investigating Length Correlations in RLHF. CoRR abs/2310.03716 (2023) - [i12]Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen:
Evaluating Large Language Models at Evaluating Instruction Following. CoRR abs/2310.07641 (2023) - 2022
- [c16]Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett:
Training Dynamics for Text Summarization Models. ACL (Findings) 2022: 2061-2073 - [c15]Tanya Goyal, Junyi Jessy Li, Greg Durrett:
FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation. EMNLP (Demos) 2022: 351-358 - [c14]Tanya Goyal, Junyi Jessy Li, Greg Durrett:
SNaC: Coherence Error Detection for Narrative Summarization. EMNLP 2022: 444-463 - [c13]Tanya Goyal, Nazneen Rajani, Wenhao Liu, Wojciech Kryscinski:
HydraSum: Disentangling Style Features in Text Summarization with Multi-Decoder Models. EMNLP 2022: 464-479 - [i11]Tanya Goyal, Junyi Jessy Li, Greg Durrett:
SNaC: Coherence Error Detection for Narrative Summarization. CoRR abs/2205.09641 (2022) - [i10]Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett:
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. CoRR abs/2205.12854 (2022) - [i9]Tanya Goyal, Junyi Jessy Li, Greg Durrett:
News Summarization and Evaluation in the Era of GPT-3. CoRR abs/2209.12356 (2022) - [i8]Ryo Kamoi, Tanya Goyal, Greg Durrett:
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. CoRR abs/2210.06748 (2022) - 2021
- [c12]Tanya Goyal, Greg Durrett:
Annotating and Modeling Fine-grained Factuality in Summarization. NAACL-HLT 2021: 1449-1462 - [i7]Tanya Goyal, Greg Durrett:
Annotating and Modeling Fine-grained Factuality in Summarization. CoRR abs/2104.04302 (2021) - [i6]Tanya Goyal, Nazneen Fatema Rajani, Wenhao Liu, Wojciech Kryscinski:
HydraSum - Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models. CoRR abs/2110.04400 (2021) - [i5]Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett:
Training Dynamics for Text Summarization Models. CoRR abs/2110.08370 (2021) - [i4]Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021) - 2020
- [c11]Tanya Goyal, Greg Durrett:
Neural Syntactic Preordering for Controlled Paraphrase Generation. ACL 2020: 238-252 - [c10]Tanya Goyal, Greg Durrett:
Evaluating Factuality in Generation with Dependency-level Entailment. EMNLP (Findings) 2020: 3592-3603 - [i3]Tanya Goyal, Greg Durrett:
Neural Syntactic Preordering for Controlled Paraphrase Generation. CoRR abs/2005.02013 (2020) - [i2]Tanya Goyal, Greg Durrett:
Evaluating Factuality in Generation with Dependency-level Entailment. CoRR abs/2010.05478 (2020)
2010 – 2019
- 2019
- [c9]Tanya Goyal, Greg Durrett:
Embedding Time Expressions for Deep Temporal Ordering Models. ACL (1) 2019: 4400-4406 - [i1]Tanya Goyal, Greg Durrett:
Embedding time expressions for deep temporal ordering models. CoRR abs/1906.08287 (2019) - 2018
- [c8]Niyati Chhaya, Kushal Chawla, Tanya Goyal, Projjal Chanda, Jaya Singh:
Frustrated, Polite, or Formal: Quantifying Feelings and Tone in Email. PEOPLES@NAACL-HTL 2018: 76-86 - [c7]Tanya Goyal, Tyler McDonnell, Mücahid Kutlu, Tamer Elsayed, Matthew Lease:
Your Behavior Signals Your Reliability: Modeling Crowd Behavioral Traces to Ensure Quality Relevance Annotations. HCOMP 2018: 41-49 - [c6]Abhilasha Sancheti, Paridhi Maheshwari, Rajat Chaturvedi, Anish V. Monsy, Tanya Goyal, Balaji Vasan Srinivasan:
Harvesting Knowledge from Cultural Heritage Artifacts in Museums of India. PAKDD (2) 2018: 312-324 - [c5]Kokil Jaidka, Tanya Goyal, Niyati Chhaya:
Predicting Email and Article Clickthroughs with Domain-adaptive Language Models. WebSci 2018: 177-184 - 2017
- [c4]Tanya Goyal, Sachin Kelkar, Manas Agarwal, Jeenu Grover:
An Empirical Analysis of Edit Importance between Document Versions. EMNLP 2017: 2780-2784 - [c3]Tanya Goyal, Sanket Mehta, Balaji Vasan Srinivasan:
Preventing Inadvertent Information Disclosures via Automatic Security Policies. PAKDD (1) 2017: 173-185 - 2016
- [c2]Balaji Vasan Srinivasan, Tanya Goyal, Nikhil Mohan Nainani, Kartik Sreenivasan:
Smart filters for social retrieval. CODS 2016: 12:1-12:2 - [c1]Balaji Vasan Srinivasan, Tanya Goyal, Varun Syal, Shubhankar Suman Singh, Vineet Sharma:
Environment Specific Content Rendering & Transformation. IUI Companion 2016: 18-22
Coauthor Index
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