Jing Xu

Affiliations:
  • University of Massachusetts Lowell, Department of Computer Science, Lowell MA, USA (PhD 2016)


According to our database1, Jing Xu authored at least 36 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense.
CoRR, October, 2025

RESTRAIN: From Spurious Votes to Signals - Self-Driven RL with Self-Penalization.
CoRR, October, 2025

The Era of Real-World Human Interaction: RL from User Conversations.
CoRR, September, 2025

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks.
CoRR, July, 2025

Bridging Offline and Online Reinforcement Learning for LLMs.
CoRR, June, 2025

An Overview of Large Language Models for Statisticians.
CoRR, February, 2025

R.I.P.: Better Models by Survival of the Fittest Prompts.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Self-Consistency Preference Optimization.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge.
CoRR, 2024

Distilling System 2 into System 1.
CoRR, 2024

Following Length Constraints in Instructions.
CoRR, 2024

Self-Rewarding Language Models.
CoRR, 2024

When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Self-Rewarding Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Chain-of-Verification Reduces Hallucination in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Some things are more CRINGE than others: Preference Optimization with the Pairwise Cringe Loss.
CoRR, 2023

Improving Open Language Models by Learning from Organic Interactions.
CoRR, 2023

Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

The CRINGE Loss: Learning what language not to model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls.
CoRR, 2022

BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage.
CoRR, 2022

Beyond Goldfish Memory: Long-Term Open-Domain Conversation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

SaFeRDialogues: Taking Feedback Gracefully after Conversational Safety Failures.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Bot-Adversarial Dialogue for Safe Conversational Agents.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Recipes for Building an Open-Domain Chatbot.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Recipes for Safety in Open-domain Chatbots.
CoRR, 2020

Recipes for building an open-domain chatbot.
CoRR, 2020

2016
WalkMore: promoting walking with just-in-time context-aware prompts.
Proceedings of the 2016 IEEE Wireless Health, 2016

Unsupervised Detection of Abnormal Moments for Usability Testing of Mobile Apps.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Beyond Smartphone Overuse: Identifying Addictive Mobile Apps.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Controlling Smart TVs Using Touch Gestures on Mobile Devices.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Monitoring Sleep and Detecting Irregular Nights through Unconstrained Smartphone Sensing.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

2014
A Pilot Study of an Inspection Framework for Automated Usability Guideline Reviews of Mobile Health Applications.
Proceedings of the Wireless Health 2014, 2014

2013
A New Method for Automated GUI Modeling of Mobile Applications.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2013

Exploring structural analysis of place networks using check-in signals.
Proceedings of the 2013 IEEE Global Communications Conference, 2013


  Loading...