Qinyuan Wu

According to our database, Qinyuan Wu authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

To Call or Not to Call: A Framework to Assess and Optimize LLM Tool Calling.

Qinyuan Wu, Soumi Das, Mahsa Amani, Arijit Nag, Seungeon Lee, Krishna P. Gummadi, Abhilasha Ravichander, Muhammad Bilal Zafar

CoRR, May, 2026

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective.

Bishwamittra Ghosh, Soumi Das, Till Speicher, Qinyuan Wu, Mohammad Aflah Khan, Deepak Garg, Krishna P. Gummadi, Evimaria Terzi

CoRR, April, 2026

In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations.

Mohammad Aflah Khan, Mahsa Amani, Soumi Das, Bishwamittra Ghosh, Qinyuan Wu, Krishna P. Gummadi, Manish Gupta, Abhilasha Ravichander

CoRR, February, 2026

The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT.

Abhisek Dash, Soumi Das, Elisabeth Kirsten, Qinyuan Wu, Sai Keerthana Karnam, Krishna P. Gummadi, Thorsten Holz, Muhammad Bilal Zafar, Savvas Zannettou

Proceedings of the ACM Web Conference 2026, 2026

2025

Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs.

Qinyuan Wu, Soumi Das, Mahsa Amani, Bishwamittra Ghosh, Mohammad Aflah Khan, Krishna P. Gummadi, Muhammad Bilal Zafar

CoRR, July, 2025

Rethinking Memorization Measures and their Implications in Large Language Models.

Bishwamittra Ghosh, Soumi Das, Qinyuan Wu, Mohammad Aflah Khan, Krishna P. Gummadi, Evimaria Terzi, Deepak Garg

CoRR, July, 2025

Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models.

Soumi Das, Camila Kolling, Mohammad Aflah Khan, Mahsa Amani, Bishwamittra Ghosh, Qinyuan Wu, Till Speicher, Krishna P. Gummadi

CoRR, February, 2025

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents.

Mathis Pink, Qinyuan Wu, Vy Ai Vo, Javier Turek, Jianing Mu, Alexander Huth, Mariya Toneva

CoRR, February, 2025

Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction.

Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks.

Mathis Pink, Vy A. Vo, Qinyuan Wu, Jianing Mu, Javier S. Turek, Uri Hasson, Kenneth A. Norman, Sebastian Michelmann, Alexander Huth, Mariya Toneva

CoRR, 2024

Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications.

Till Speicher, Mohammad Aflah Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi

CoRR, 2024

Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction.

Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi

CoRR, 2024

2022

Exponential negation of a probability distribution.

Qinyuan Wu, Yong Deng, Neal N. Xiong

Soft Comput., 2022

2021

A Negation Quantum Decision Model to Predict the Interference Effect in Categorization.

Qinyuan Wu, Yong Deng

CoRR, 2021

2020

Exponential Negation of a Probability Distribution.

Qinyuan Wu, Yong Deng

CoRR, 2020