Guangxuan Xu

24 papers A* 4Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods.
CoRR
Isha Puri, Shivchander Sudalairaj, Guangxuan Xu, Kai Xu, Akash Srivastava
2025 J jnl
Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time Scaling.
CoRR
Giorgio Giannone, Guangxuan Xu, Nikhil Shivakumar Nayak, Rohan Mahesh Awhad, Shivchander Sudalairaj, Kai Xu, Akash Srivastava
2025 A* conf
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs.
ICLR
Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava
2024 — conf
A Grounded Preference Model for LLM Alignment.
ACL (Findings)
Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar
2024 A* conf
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.
ICML
Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
2024 J jnl
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.
CoRR
Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
2024 J jnl
CDR: Customizable Density Ratios of Strong-over-weak LLMs for Preference Annotation.
CoRR
Guangxuan Xu, Kai Xu, Shivchander Sudalairaj, Hao Wang, Akash Srivastava
2024 J jnl
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs.
CoRR
Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava
2023 — conf
Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales.
ACL (1)
Paulina Toro Isaza, Guangxuan Xu, Toye Oloko, Yufang Hou, Nanyun Peng, Dakuo Wang
2023 J jnl
Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales.
CoRR
Paulina Toro Isaza, Guangxuan Xu, Akintoye Oloko, Yufang Hou, Nanyun Peng, Dakuo Wang
2022 J jnl
Can Model Compression Improve NLP Fairness.
CoRR
Guangxuan Xu, Qingyuan Hu
2022 — conf
EnDex: Evaluation of Dialogue Engagingness at Scale.
EMNLP (Findings)
Guangxuan Xu, Ruibo Liu, Fabrice Harel-Canada, Nischal Reddy Chandra, Nanyun Peng
2022 J jnl
EnDex: Evaluation of Dialogue Engagingness at Scale.
CoRR
Guangxuan Xu, Ruibo Liu, Fabrice Harel-Canada, Nischal Reddy Chandra, Nanyun Peng
2022 J jnl
NECE: Narrative Event Chain Extraction Toolkit.
CoRR
Guangxuan Xu, Paulina Toro Isaza, Moshi Li, Akintoye Oloko, Bingsheng Yao, Aminat Adebiyi, Yufang Hou, Nanyun Peng, Dakuo Wang
2022 A* conf
Non-Parallel Text Style Transfer with Self-Parallel Supervision.
ICLR
Ruibo Liu, Chongyang Gao, Chenyan Jia, Guangxuan Xu, Soroush Vosoughi
2022 J jnl
Non-Parallel Text Style Transfer with Self-Parallel Supervision.
CoRR
Ruibo Liu, Chongyang Gao, Chenyan Jia, Guangxuan Xu, Soroush Vosoughi
2022 — conf
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark.
ACL (Findings)
Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang
2022 J jnl
Quantifying and alleviating political bias in language models.
Artif. Intell.
Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Soroush Vosoughi
2021 J jnl
Mitigating Political Bias in Language Models Through Reinforced Calibration.
CoRR
Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi
2021 A* conf
Mitigating Political Bias in Language Models through Reinforced Calibration.
AAAI
Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi
2021 J jnl
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark.
CoRR
Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang
2020 — conf
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation.
EMNLP (1)
Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, Soroush Vosoughi
2020 J jnl
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation.
CoRR
Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, Soroush Vosoughi
2020 J jnl
Enhanced Offensive Language Detection Through Data Augmentation.
CoRR
Ruibo Liu, Guangxuan Xu, Soroush Vosoughi