RARR: Researching and Revising What Language Models Say, Using Language Models.

Arun Tejasvi Chaganty http://arun.chagantys.org/ https://scholar.google.com/citations?user=mIFso2kAAAAJ https://github.com/arunchaganty/ Google LLC, Mountain View, CA, USA Stanford University, Computer Science Department, USA Luyu Gao Zhuyun Dai Panupong Pasupat Anthony Chen Arun Tejasvi Chaganty Yicheng Fan Vincent Y. Zhao Ni Lao Hongrae Lee Da-Cheng Juan Kelvin Guu RARR: Researching and Revising What Language Models Say, Using Language Models. 16477-16508 2023 ACL (1) https://doi.org/10.18653/v1/2023.acl-long.910 https://aclanthology.org/2023.acl-long.910 conf/acl/2023-1 db/conf/acl/acl2023-1.html#GaoDPCCFZLLJG23 Arun Tejasvi Chaganty Megan Leszczynski Shu Zhang Ravi Ganti Krisztian Balog Filip Radlinski Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. 2754-2764 2023 SIGIR https://doi.org/10.1145/3539618.3591881 conf/sigir/2023 db/conf/sigir/sigir2023.html#ChagantyLZGBR23

Megan Leszczynski Ravi Ganti Shu Zhang Krisztian Balog Filip Radlinski Fernando Pereira Arun Tejasvi Chaganty Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models. 2023 abs/2301.11489 CoRR https://doi.org/10.48550/arXiv.2301.11489 db/journals/corr/corr2301.html#abs-2301-11489

Arun Tejasvi Chaganty Megan Leszczynski Shu Zhang Ravi Ganti Krisztian Balog Filip Radlinski Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. 2023 abs/2303.06791 CoRR https://doi.org/10.48550/arXiv.2303.06791 db/journals/corr/corr2303.html#abs-2303-06791

Zhuyun Dai Arun Tejasvi Chaganty Vincent Y. Zhao Aida Amini Qazi Mamunur Rashid Mike Green Kelvin Guu Dialog Inpainting: Turning Documents into Dialogs. 4558-4586 2022 ICML https://proceedings.mlr.press/v162/dai22a.html conf/icml/2022 db/conf/icml/icml2022.html#DaiCZARGG22

Zhuyun Dai Arun Tejasvi Chaganty Vincent Y. Zhao Aida Amini Qazi Mamunur Rashid Mike Green Kelvin Guu Dialog Inpainting: Turning Documents into Dialogs. 2022 abs/2205.09073 CoRR https://doi.org/10.48550/arXiv.2205.09073 db/journals/corr/corr2205.html#abs-2205-09073

Luyu Gao Zhuyun Dai Panupong Pasupat Anthony Chen Arun Tejasvi Chaganty Yicheng Fan Vincent Y. Zhao Ni Lao Hongrae Lee Da-Cheng Juan Kelvin Guu Attributed Text Generation via Post-hoc Research and Revision. 2022 abs/2210.08726 CoRR https://doi.org/10.48550/arXiv.2210.08726 db/journals/corr/corr2210.html#abs-2210-08726

Justin Dieter Arun Tejasvi Chaganty Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings. 2020 abs/2010.04842 CoRR https://arxiv.org/abs/2010.04842 db/journals/corr/corr2010.html#abs-2010-04842

Justin Dieter Tian Wang Arun Tejasvi Chaganty Gabor Angeli Angel X. Chang Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue. 393-403 2019 CoNLL https://doi.org/10.18653/v1/K19-1037 conf/conll/2019 db/conf/conll/conll2019.html#DieterWCAC19 Arun Tejasvi Chaganty Natural language evaluation with humans in the loop and statistical estimators. Stanford University, USA 2018 https://searchworks.stanford.edu/view/12741585 Arun Tejasvi Chaganty Stephen Mussmann Percy Liang The price of debiasing automatic metrics in natural language evalaution. 643-653 2018 ACL (1) https://aclanthology.org/P18-1060/ https://doi.org/10.18653/v1/P18-1060 conf/acl/2018-1 db/conf/acl/acl2018-1.html#LiangCM18 Matthew Lamm Arun Tejasvi Chaganty Christopher D. Manning Dan Jurafsky Percy Liang Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. 82-92 2018 EMNLP https://doi.org/10.18653/v1/d18-1008 https://aclanthology.org/D18-1008/ conf/emnlp/2018 db/conf/emnlp/emnlp2018.html#LammCMJL18

Arun Tejasvi Chaganty Stephen Mussmann Percy Liang The price of debiasing automatic metrics in natural language evaluation. 2018 abs/1807.02202 CoRR http://arxiv.org/abs/1807.02202 db/journals/corr/corr1807.html#abs-1807-02202

Matthew Lamm Arun Tejasvi Chaganty Christopher D. Manning Dan Jurafsky Percy Liang Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. 2018 abs/1809.02700 CoRR http://arxiv.org/abs/1809.02700 db/journals/corr/corr1809.html#abs-1809-02700

Arun Tejasvi Chaganty Ashwin Paranjape Percy Liang Christopher D. Manning Importance sampling for unbiased on-demand evaluation of knowledge base population. 1038-1048 2017 EMNLP https://doi.org/10.18653/v1/d17-1109 https://aclanthology.org/D17-1109/ conf/emnlp/2017 db/conf/emnlp/emnlp2017.html#ChagantyPLM17 Mohamed Al-Badrashiny Jason Bolton Arun Tejasvi Chaganty Kevin Clark Craig Harman Lifu Huang Matthew Lamm Jinhao Lei Di Lu 0003 Xiaoman Pan Ashwin Paranjape Ellie Pavlick Haoruo Peng Peng Qi 0003 Pushpendre Rastogi Abigail See Kai Sun 0006 Max Thomas Chen-Tse Tsai Hao Wu 0034 Boliang Zhang Chris Callison-Burch Claire Cardie Heng Ji 0001 Christopher D. Manning Smaranda Muresan Owen Rambow Dan Roth 0001 Mark Sammons Benjamin Van Durme TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. 2017 TAC https://tac.nist.gov/publications/2017/participant.papers/TAC2017.TinkerBell.proceedings.pdf conf/tac/2017 db/conf/tac/tac2017.html#Al-BadrashinyBC17 Arun Tejasvi Chaganty Ashwin Paranjape Jason Bolton Matthew Lamm Jinhao Lei Abigail See Kevin Clark Yuhao Zhang 0004 Peng Qi 0003 Christopher D. Manning Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. 2017 TAC https://tac.nist.gov/publications/2017/participant.papers/TAC2017.STANFORD.proceedings.pdf conf/tac/2017 db/conf/tac/tac2017.html#ChagantyPBLLSCZ17 Arun Tejasvi Chaganty Percy Liang How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions. 2016 ACL (1) https://doi.org/10.18653/v1/p16-1055 https://aclanthology.org/P16-1055/ conf/acl/2016-1 db/conf/acl/acl2016-1.html#ChagantyL16 Yuhao Zhang 0004 Arun Tejasvi Chaganty Ashwin Paranjape Danqi Chen 0001 Jason Bolton Peng Qi 0003 Christopher D. Manning Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. 2016 TAC https://tac.nist.gov/publications/2016/participant.papers/TAC2016.Stanford.proceedings.pdf conf/tac/2016 db/conf/tac/tac2016.html#ZhangCPCBQM16

Sida I. Wang Arun Tejasvi Chaganty Percy Liang Estimating Mixture Models via Mixtures of Polynomials. 2016 abs/1603.08482 CoRR http://arxiv.org/abs/1603.08482 db/journals/corr/corr1603.html#WangCL16

Arun Tejasvi Chaganty Percy Liang How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions. 2016 abs/1609.00070 CoRR http://arxiv.org/abs/1609.00070 db/journals/corr/corr1609.html#ChagantyL16

Volodymyr Kuleshov Arun Tejasvi Chaganty Percy Liang Tensor Factorization via Matrix Factorization. 2015 AISTATS http://proceedings.mlr.press/v38/kuleshov15.html conf/aistats/2015 db/conf/aistats/aistats2015.html#KuleshovCL15 Sida Wang 0001 Arun Tejasvi Chaganty Percy Liang Estimating Mixture Models via Mixtures of Polynomials. 487-495 2015 NIPS https://proceedings.neurips.cc/paper/2015/hash/8dd48d6a2e2cad213179a3992c0be53c-Abstract.html http://papers.nips.cc/paper/5702-estimating-mixture-models-via-mixtures-of-polynomials conf/nips/2015 db/conf/nips/nips2015.html#WangCL15 Keenon Werling Arun Tejasvi Chaganty Percy Liang Christopher D. Manning On-the-Job Learning with Bayesian Decision Theory. 3465-3473 2015 NIPS https://proceedings.neurips.cc/paper/2015/hash/333222170ab9edca4785c39f55221fe7-Abstract.html http://papers.nips.cc/paper/5860-on-the-job-learning-with-bayesian-decision-theory conf/nips/2015 db/conf/nips/nips2015.html#WerlingCLM15 Gabor Angeli Victor Zhong Danqi Chen 0001 Arun Tejasvi Chaganty Jason Bolton Melvin Jose Johnson Premkumar Panupong Pasupat Sonal Gupta Christopher D. Manning Bootstrapped Self Training for Knowledge Base Population. 2015 TAC https://tac.nist.gov/publications/2015/participant.papers/TAC2015.Stanford.proceedings.pdf conf/tac/2015 db/conf/tac/tac2015.html#AngeliZCCBPPGM15

Volodymyr Kuleshov Arun Tejasvi Chaganty Percy Liang Simultaneous diagonalization: the asymmetric, low-rank, and noisy settings. 2015 abs/1501.06318 CoRR http://arxiv.org/abs/1501.06318 db/journals/corr/corr1501.html#KuleshovCL15

Volodymyr Kuleshov Arun Tejasvi Chaganty Percy Liang Tensor Factorization via Matrix Factorization. 2015 abs/1501.07320 CoRR http://arxiv.org/abs/1501.07320 db/journals/corr/corr1501.html#KuleshovCL15a

Keenon Werling Arun Tejasvi Chaganty Percy Liang Christopher D. Manning On-the-Job Learning with Bayesian Decision Theory. 2015 abs/1506.03140 CoRR http://arxiv.org/abs/1506.03140 db/journals/corr/corr1506.html#WerlingCLM15

Arun Tejasvi Chaganty Percy Liang Estimating Latent-Variable Graphical Models using Moments and Likelihoods. 1872-1880 2014 ICML http://proceedings.mlr.press/v32/chaganty14.html conf/icml/2014 db/conf/icml/icml2014.html#ChagantyL14 Arun Tejasvi Chaganty Aditya V. Nori Sriram K. Rajamani Efficiently Sampling Probabilistic Programs via Program Analysis. 153-160 2013 AISTATS http://proceedings.mlr.press/v31/chaganty13a.html conf/aistats/2013 db/conf/aistats/aistats2013.html#ChagantyNR13 Arun Tejasvi Chaganty Akash Lal Aditya V. Nori Sriram K. Rajamani Combining Relational Learning with SMT Solvers Using CEGAR. 447-462 2013 CAV https://doi.org/10.1007/978-3-642-39799-8_30 conf/cav/2013 db/conf/cav/cav2013.html#ChagantyLNR13 Arun Tejasvi Chaganty Percy Liang Spectral Experts for Estimating Mixtures of Linear Regressions. 1040-1048 2013 ICML (3) http://proceedings.mlr.press/v28/tejasvichaganty13.html conf/icml/2013 db/conf/icml/icml2013.html#ChagantyL13 Gabor Angeli Arun Tejasvi Chaganty Angel X. Chang Kevin Reschke Julie Tibshirani Jean Wu Osbert Bastani Keith Siilats Christopher D. Manning Stanford's 2013 KBP System. 2013 TAC https://tac.nist.gov/publications/2013/participant.papers/Stanford.TAC2013.proceedings.pdf conf/tac/2013 db/conf/tac/tac2013.html#AngeliCCRTWBSM13

Arun Tejasvi Chaganty Percy Liang Spectral Experts for Estimating Mixtures of Linear Regressions. 2013 CoRR http://arxiv.org/abs/1306.3729 abs/1306.3729 db/journals/corr/corr1306.html#ChagantyL13

Arun Tejasvi Chaganty Prateek Gaur Balaraman Ravindran Learning in a small world. 391-397 2012 AAMAS http://dl.acm.org/citation.cfm?id=2343632 conf/atal/2012 db/conf/atal/aamas2012.html#ChagantyGR12 Mohamed Al-Badrashiny Aida Amini Gabor Angeli Krisztian Balog Osbert Bastani Jason Bolton Chris Callison-Burch Claire Cardie Angel X. Chang Anthony Chen Danqi Chen 0001 Kevin Clark Zhuyun Dai Justin Dieter Benjamin Van Durme Yicheng Fan Ravi Ganti Luyu Gao Prateek Gaur Mike Green Sonal Gupta Kelvin Guu Craig Harman Lifu Huang Heng Ji 0001 Da-Cheng Juan Daniel JurafskyDan Jurafsky Volodymyr Kuleshov Akash Lal Matthew Lamm Ni Lao Hongrae Lee Jinhao Lei Megan Leszczynski Percy Liang Di Lu 0003 Christopher D. Manning Smaranda Muresan Stephen Mussmann Aditya V. Nori Xiaoman Pan Ashwin Paranjape Panupong Pasupat Ellie Pavlick Haoruo Peng Fernando Pereira Melvin Jose Johnson Premkumar Peng Qi 0003 Filip Radlinski Sriram K. Rajamani Owen Rambow Qazi Mamunur Rashid Pushpendre Rastogi Balaraman Ravindran Kevin Reschke Dan Roth 0001 Mark Sammons Abigail See Keith Siilats Kai Sun 0006 Max Thomas Julie Tibshirani Chen-Tse Tsai Sida I. WangSida Wang 0001 Tian Wang Keenon Werling Hao Wu 0034 Jean Wu Boliang Zhang Shu Zhang Yuhao Zhang 0004 Vincent Y. Zhao Victor Zhong