Weiyan Shi

Orcid: 0000-0003-0850-5831

According to our database1, Weiyan Shi authored at least 48 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Understanding the Diffraction Model in Static Multipath-Rich Environments for WiFi Sensing System Design.
IEEE Trans. Mob. Comput., November, 2024

Dialoging Resonance in Human-Chatbot Conversation: How Users Perceive and Reciprocate Recommendation Chatbot's Self-Disclosure Strategy.
Proc. ACM Hum. Comput. Interact., 2024

Distilling an End-to-End Voice Assistant Without Instruction Training Data.
CoRR, 2024

Towards Social AI: A Survey on Understanding Social Interactions.
CoRR, 2024

Contrastive Learning for Knowledge-Based Question Generation in Large Language Models.
CoRR, 2024

Exploring Gaze Pattern in Autistic Children: Clustering, Visualization, and Prediction.
CoRR, 2024

PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action.
CoRR, 2024

Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval.
CoRR, 2024

CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies.
CoRR, 2024

A Safe Harbor for AI Evaluation and Red Teaming.
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


CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
From Scroll to Misbelief: Modeling the Unobservable Susceptibility to Misinformation on Social Media.
CoRR, 2023

WiCross: I Can Know When You Cross Using COTS WiFi Devices.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Social Influence Dialogue Systems: A Survey of Datasets and Models For Social Influence Tasks.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Controllable Mixed-Initiative Dialogue Generation through Prompting.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
AutoReply: Detecting Nonsense in Dialogue Introspectively with Discriminative Replies.
CoRR, 2022

Social Influence Dialogue Systems: A Scoping Survey of the Efforts Towards Influence Capabilities of Dialogue Systems.
CoRR, 2022

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models.
CoRR, 2022

Towards Socially Intelligent Agents with Mental State Transition and Human Value.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Selective Differential Privacy for Language Modeling.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Seamlessly Integrating Factual Information and Social Content with Persuasive Dialogue.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Discovering Chatbot's Self-Disclosure's Impact on User Trust, Affinity, and Recommendation Effectiveness.
CoRR, 2021

DEUX: An Attribute-Guided Framework for Sociable Recommendation Dialog Systems.
CoRR, 2021

Towards Socially Intelligent Agents with Mental State Transition and Human Utility.
CoRR, 2021

Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

PRAL: A Tailored Pre-Training Model for Task-Oriented Dialog Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Tailored Pre-Training Model for Task-Oriented Dialog Generation.
CoRR, 2020

Understanding User Resistance Strategies in Persuasive Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Structured Attention for Unsupervised Dialogue Structure Induction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

INSPIRED: Toward Sociable Recommendation Dialog Systems.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

End-to-End Trainable Non-Collaborative Dialog System.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Unsupervised Dialog Structure Learning.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

How to Build User Simulators to Train RL-based Dialog Systems.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Sentiment Adaptive End-to-End Dialog Systems.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018


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