Sean J Welleck
Sean J Welleck
Assistant Professor, Carnegie Mellon University
Verified email at - Homepage
Cited by
Cited by
Self-refine: Iterative refinement with self-feedback
A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ...
NeurIPS 2023, 2023
Neural text generation with unlikelihood training
S Welleck, I Kulikov, S Roller, E Dinan, K Cho, J Weston
International Conference on Learning Representations (ICLR) 2020, 2019
Dialogue natural language inference
S Welleck, J Weston, A Szlam, K Cho
ACL 2019, 2018
Symbolic knowledge distillation: from general language models to commonsense models
P West, C Bhagavatula, J Hessel, JD Hwang, L Jiang, RL Bras, X Lu, ...
NAACL 2022, 2021
Mauve: Measuring the gap between neural text and human text using divergence frontiers
K Pillutla, S Swayamdipta, R Zellers, J Thickstun, S Welleck, Y Choi, ...
Advances in Neural Information Processing Systems 34, 4816-4828, 2021
Generated knowledge prompting for commonsense reasoning
J Liu, A Liu, X Lu, S Welleck, P West, RL Bras, Y Choi, H Hajishirzi
ACL 2022, 2021
Faith and Fate: Limits of Transformers on Compositionality
N Dziri, X Lu, M Sclar, XL Li, L Jian, BY Lin, P West, C Bhagavatula, ...
NeurIPS 2023, 2023
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training
M Li, S Roller, I Kulikov, S Welleck, YL Boureau, K Cho, J Weston
ACL 2020, 2019
Maieutic prompting: Logically consistent reasoning with recursive explanations
J Jung, L Qin, S Welleck, F Brahman, C Bhagavatula, RL Bras, Y Choi
EMNLP 2022, 2022
Quark: Controllable text generation with reinforced unlearning
X Lu, S Welleck, L Jiang, J Hessel, L Qin, P West, P Ammanabrolu, Y Choi
NeurIPS 2022, 2022
Neurologic a* esque decoding: Constrained text generation with lookahead heuristics
X Lu, S Welleck, P West, L Jiang, J Kasai, D Khashabi, RL Bras, L Qin, ...
NAACL 2022, 2021
Non-Monotonic Sequential Text Generation
S Welleck, K Brantley, H Daumé III, K Cho
International Conference on Machine Learning (ICML) 2019, 2019
Llemma: an open language model for mathematics
Z Azerbayev, H Schoelkopf, K Paster, M Dos Santos, S McAleer, AQ Jiang, ...
ICLR 2024, 2024
Generating Sequences by Learning to Self-Correct
S Welleck, X Lu, P West, F Brahman, T Shen, D Khashabi, Y Choi
ICLR 2023, 2022
Cold decoding: Energy-based constrained text generation with langevin dynamics
L Qin, S Welleck, D Khashabi, Y Choi
NeurIPS 2022, 2022
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
AQ Jiang, S Welleck, JP Zhou, W Li, J Liu, M Jamnik, T Lacroix, Y Wu, ...
ICLR 2023, 2022
A Survey of Deep Learning for Mathematical Reasoning
P Lu, L Qiu, W Yu, S Welleck, KW Chang
ACL 2023, 2022
Lila: A unified benchmark for mathematical reasoning
S Mishra, M Finlayson, P Lu, L Tang, S Welleck, C Baral, T Rajpurohit, ...
EMNLP 2022, 2022
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
S Welleck, I Kulikov, J Kim, RY Pang, K Cho
EMNLP 2020, 2020
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts
D Khashabi, S Lyu, S Min, L Qin, K Richardson, S Singh, S Welleck, ...
NAACL 2022, 2021
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