Pengxiang Cheng

22 papers A* 5Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
An Alternative to FLOPS Regularization to Effectively Productionize SPLADE-Doc.
SIGIR
Aldo Porco, Dhruv Mehra, Igor Malioutov, Karthik Radhakrishnan, Moniba Keymanesh, Daniel Preotiuc-Pietro, Sean MacAvaney, Pengxiang Cheng
2025 J jnl
An Alternative to FLOPS Regularization to Effectively Productionize SPLADE-Doc.
CoRR
Aldo Porco, Dhruv Mehra, Igor Malioutov, Karthik Radhakrishnan, Moniba Keymanesh, Daniel Preotiuc-Pietro, Sean MacAvaney, Pengxiang Cheng
2025 J jnl
Evaluating the Retrieval Robustness of Large Language Models.
CoRR
Shuyang Cao, Karthik Radhakrishnan, David S. Rosenberg, Steven Lu, Pengxiang Cheng, Lu Wang, Shiyue Zhang
2025 A* conf
Improving Instruct Models for Free: A Study on Partial Adaptation.
EMNLP
Ozan Irsoy, Pengxiang Cheng, Jennifer L. Chen, Daniel Preotiuc-Pietro, Shiyue Zhang, Duccio Pappadopulo
2025 J jnl
Improving Instruct Models for Free: A Study on Partial Adaptation.
CoRR
Ozan Irsoy, Pengxiang Cheng, Jennifer L. Chen, Daniel Preotiuc-Pietro, Shiyue Zhang, Duccio Pappadopulo
2024 — conf
Unsupervised Contrast-Consistent Ranking with Language Models.
EACL (1)
Niklas Stoehr, Pengxiang Cheng, Jing Wang, Daniel Preotiuc-Pietro, Rajarshi Bhowmik
2023 A* conf
Dataless Knowledge Fusion by Merging Weights of Language Models.
ICLR
Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng
2023 — conf
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning.
ACL (Findings)
Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan, Shijie Wu, Xisen Jin, Pengxiang Cheng, Mayank Kulkarni, Daniel Preotiuc-Pietro
2023 J jnl
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning.
CoRR
Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan, Shijie Wu, Xisen Jin, Pengxiang Cheng, Mayank Kulkarni, Daniel Preotiuc-Pietro
2023 J jnl
Unsupervised Contrast-Consistent Ranking with Language Models.
CoRR
Niklas Stoehr, Pengxiang Cheng, Jing Wang, Daniel Preotiuc-Pietro, Rajarshi Bhowmik
2022 J jnl
Dataless Knowledge Fusion by Merging Weights of Language Models.
CoRR
Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng
2020 A* conf
Attending to Entities for Better Text Understanding.
AAAI
Pengxiang Cheng, Katrin Erk
2019 J jnl
Attending to Entities for Better Text Understanding.
CoRR
Pengxiang Cheng, Katrin Erk
2019 A* conf
Implicit Argument Prediction as Reading Comprehension.
AAAI
Pengxiang Cheng, Katrin Erk
2019 — conf
The UTexas system for TAC 2019 SM-KBP Task 3: Hypothesis detection with graph convolutional networks.
TAC
Pengxiang Cheng, Alexander Tomkovich, Eric Holgate, Su Wang, Katrin Erk
2018 J jnl
Implicit Argument Prediction as Reading Comprehension.
CoRR
Pengxiang Cheng, Katrin Erk
2018 — conf
Implicit Argument Prediction with Event Knowledge.
NAACL-HLT
Pengxiang Cheng, Katrin Erk
2018 J jnl
Implicit Argument Prediction with Event Knowledge.
CoRR
Pengxiang Cheng, Katrin Erk
2018 — conf
The UTexas system for TAC SM-KBP task 3: Probabilistic generation of coherent hypotheses.
TAC
Pengxiang Cheng, Eric Holgate, Katrin Erk
2016 J jnl
Crowdsourcing Information Extraction for Biomedical Systematic Reviews.
CoRR
Yalin Sun, Pengxiang Cheng, Shengwei Wang, Hao Lyu, Matthew Lease, Iain James Marshall, Byron C. Wallace
2016 J jnl
Representing Meaning with a Combination of Logical and Distributional Models.
Comput. Linguistics
Islam Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, Raymond J. Mooney
2015 J jnl
Representing Meaning with a Combination of Logical Form and Vectors.
CoRR
Islam Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, Raymond J. Mooney