Kevin Zhu

166 papers A* 1C 6Journal 137Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Few Bad Neurons: Isolating and Surgically Correcting Sycophancy.
CoRR
Claire O'Brien, Jessica Seto, Dristi Roy, Aditya Dwivedi, Sunishchal Dev, Kevin Zhu, Sean O'Brien, Ashwinee Panda, Ryan Lagasse
2026 J jnl
AMVICC: A Novel Benchmark for Cross-Modal Failure Mode Profiling for VLMs and IGMs.
CoRR
Aahana Basappa, Pranay Goel, Anusri Karra, Anish Karra, Asa Gilmore, Kevin Zhu
2026 J jnl
Broken Chains: The Cost of Incomplete Reasoning in LLMs.
CoRR
Ian Su, Gaurav Purushothaman, Jey Narayan, Ruhika Goel, Kevin Zhu, Sunishchal Dev, Yash More, Maheep Chaudhary
2026 J jnl
CBMAS: Cognitive Behavioral Modeling via Activation Steering.
CoRR
Ahmed H. Ismail, Anthony Kuang, Ayo Akinkugbe, Kevin Zhu, Sean O'Brien
2026 J jnl
MANATEE: Inference-Time Lightweight Diffusion Based Safety Defense for LLMs.
CoRR
Chun Yan Ryan Kan, Tommy Tran, Vedant Yadav, Ava Cai, Kevin Zhu, Ruizhe Li, Maheep Chaudhary
2026 — conf
MiSCHiEF: A Benchmark in Minimal-Pairs of Safety and Culture for Holistic Evaluation of Fine-Grained Image-Caption Alignment.
EACL (Volume 2: Short Papers)
Sagarika Banerjee, Tangatar Madi, Advait Swaminathan, Jolie Nguyen, Shivank Garg, Kevin Zhu, Vasu Sharma
2026 J jnl
MiSCHiEF: A Benchmark in Minimal-Pairs of Safety and Culture for Holistic Evaluation of Fine-Grained Image-Caption Alignment.
CoRR
Sagarika Banerjee, Tangatar Madi, Advait Swaminathan, Nguyen Dao Minh Anh, Shivank Garg, Kevin Zhu, Vasu Sharma
2026 J jnl
Mitigating Forgetting in Continual Learning with Selective Gradient Projection.
CoRR
Anika Singh, Aayush Dhaulakhandi, Varun Chopade, Likhith Malipati, David Martinez, Kevin Zhu
2026 J jnl
ProMoral-Bench: Evaluating Prompting Strategies for Moral Reasoning and Safety in LLMs.
CoRR
Rohan Subramanian Thomas, Shikhar Shiromani, Abdullah Chaudhry, Ruizhe Li, Vasu Sharma, Kevin Zhu, Sunishchal Dev
2026 J jnl
Visualizing and Benchmarking LLM Factual Hallucination Tendencies via Internal State Analysis and Clustering.
CoRR
Nathan Mao, Varun Kaushik, Shreya Shivkumar, Parham Sharafoleslami, Kevin Zhu, Sunishchal Dev
2026 J jnl
Weight space Detection of Backdoors in LoRA Adapters.
CoRR
David Puertolas Merenciano, Ekaterina Vasyagina, Raghav Dixit, Kevin Zhu, Ruizhe Li, Javier Ferrando, Maheep Chaudhary
2026 J jnl
Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs.
CoRR
Anirudh Sekar, Mrinal Agarwal, Rachel Sharma, Akitsugu Tanaka, Jasmine Zhang, Arjun Damerla, Kevin Zhu
2025 — conf
A Milling Swarm of Ground Robots using Spiking Neural Networks.
NICE
Kevin Zhu, Shay Snyder, Ricardo Vega, Maryam Parsa, Cameron Nowzari
2025 J jnl
A comparative analysis of the effect of initiative risk statement versus passive risk disclosure on the financing performance of Kickstarter campaigns.
Decis. Support Syst.
Wei Wang, Ying Li, Jian Mou, Kevin Zhu
2025 J jnl
ASCIIBench: Evaluating Language-Model-Based Understanding of Visually-Oriented Text.
CoRR
Kerry Luo, Michael Fu, Joshua Peguero, Husnain Malik, Anvay Patil, Joyce Lin, Megan Van Overborg, Ryan Sarmiento, Kevin Zhu
2025 J jnl
Adapting Large Language Models to Mitigate Skin Tone Biases in Clinical Dermatology Tasks: A Mixed-Methods Study.
CoRR
Kiran Nijjer, Ryan Bui, Derek Jiu, Adnan Ahmed, Peter Wang, Kevin Zhu, Lilly Zhu
2025 J jnl
Adaptive Linguistic Prompting (ALP) Enhances Phishing Webpage Detection in Multimodal Large Language Models.
CoRR
Atharva Bhargude, Ishan Gonehal, Chandler Haney, Dave Yoon, Kevin Zhu, Aaron Sandoval, Sean O'Brien, Kaustubh Vinnakota
2025 J jnl
Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language.
CoRR
Jesus Alvarez C, Daua D. Karajeanes, Ashley Celeste Prado, John Ruttan, Ivory Yang, Sean O'Brien, Vasu Sharma, Kevin Zhu
2025 J jnl
AgentChangeBench: A Multi-Dimensional Evaluation Framework for Goal-Shift Robustness in Conversational AI.
CoRR
Manik Rana, Calissa Man, Anotida Expected Msiiwa, Jeffrey Paine, Kevin Zhu, Sunishchal Dev, Vasu Sharma, Ahan M. R
2025 J jnl
Alignment-Constrained Dynamic Pruning for LLMs: Identifying and Preserving Alignment-Critical Circuits.
CoRR
Dev Patel, Gabrielle Gervacio, Diekola Raimi, Kevin Zhu, Ryan Lagasse, Gabriel Grand, Ashwinee Panda, Maheep Chaudhary
2025 J jnl
Analytical Swarm Chemistry: Characterization and Analysis of Emergent Swarm Behaviors.
CoRR
Ricardo Vega, Connor Mattson, Kevin Zhu, Daniel S. Brown, Cameron Nowzari
2025 J jnl
AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models.
CoRR
Aashray Reddy, Andrew Zagula, Nicholas Saban, Kevin Zhu
2025 J jnl
Automating Mathematical Proof Generation Using Large Language Model Agents and Knowledge Graphs.
CoRR
Vincent Li, Yule Fu, Tim Knappe, Kevin Han, Kevin Zhu
2025 J jnl
CLEAR: Contrasting Textual Feedback with Experts and Amateurs for Reasoning.
CoRR
Andrew Rufail, Daniel Kim, Sean O'Brien, Kevin Zhu
2025 J jnl
COMPASS: Context-Modulated PID Attention Steering System for Hallucination Mitigation.
CoRR
Kenji Sahay, Snigdha Pandya, Rohan Nagale, Anna Lin, Shikhar Shiromani, Kevin Zhu, Sunishchal Dev
2025 J jnl
COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark.
CoRR
Ishant Chintapatla, Kazuma Choji, Naaisha Agarwal, Andrew Lin, Hannah You, Charles Duong, Kevin Zhu, Sean O'Brien, Vasu Sharma
2025 J jnl
Causal Language Control in Multilingual Transformers via Sparse Feature Steering.
CoRR
Cheng-Ting Chou, George Liu, Jessica Sun, Cole Blondin, Kevin Zhu, Vasu Sharma, Sean O'Brien
2025 J jnl
Chopping Trees: Semantic Similarity Based Dynamic Pruning for Tree-of-Thought Reasoning.
CoRR
Joongho Kim, Xirui Huang, Zarreen Reza, Gabriel Grand, Kevin Zhu, Ryan Lagasse
2025 J jnl
Deconstructing Bias: A Multifaceted Framework for Diagnosing Cultural and Compositional Inequities in Text-to-Image Generative Models.
CoRR
Muna Numan Said, Aarib Zaidi, Rabia Usman, Sonia Okon, Praneeth Medepalli, Kevin Zhu, Vasu Sharma, Sean O'Brien
2025 J jnl
Direct Confidence Alignment: Aligning Verbalized Confidence with Internal Confidence In Large Language Models.
CoRR
Glenn Zhang, Treasure Mayowa, Jason Fan, Yicheng Fu, Aaron Sandoval, Sean O'Brien, Kevin Zhu
2025 J jnl
Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation.
CoRR
Daniel Csizmadia, Andrei Codreanu, Victor Sim, Vighnesh Prabhu, Michael Lu, Kevin Zhu, Sean O'Brien, Vasu Sharma
2025 J jnl
Don't Think of the White Bear: Ironic Negation in Transformer Models Under Cognitive Load.
CoRR
Logan Mann, Nayan Saxena, Sarah Tandon, Chenhao Sun, Savar Toteja, Kevin Zhu
2025 J jnl
DuoLens: A Framework for Robust Detection of Machine-Generated Multilingual Text and Code.
CoRR
Shriyansh Agrawal, Aidan Lau, Sanyam Shah, Ahan M. R, Kevin Zhu, Sunishchal Dev, Vasu Sharma
2025 J jnl
DynaStride: Dynamic Stride Windowing with MMCoT for Instructional Multi-Scene Captioning.
CoRR
Eddison Pham, Prisha Priyadarshini, Adrian Maliackel, Kanishk Bandi, Cristian Meo, Kevin Zhu
2025 J jnl
ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models.
CoRR
Haziq Mohammad Khalid, Athikash Jeyaganthan, Timothy Do, Yicheng Fu, Sean O'Brien, Vasu Sharma, Kevin Zhu
2025 J jnl
Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs.
CoRR
Nikita Afonin, Nikita Andriyanov, Nikhil Bageshpura, Kyle Liu, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Alexander Panchenko, Oleg Rogov, Elena Tutubalina, Mikhail Seleznyov
2025 J jnl
Emergent Persuasion: Will LLMs Persuade Without Being Prompted?
CoRR
Vincent Chang, Thee Ho, Sunishchal Dev, Kevin Zhu, Shi Feng, Kellin Pelrine, Matthew Kowal
2025 J jnl
Emergent World Beliefs: Exploring Transformers in Stochastic Games.
CoRR
Adam Kamel, Tanish Rastogi, Michael Ma, Kailash Ranganathan, Kevin Zhu
2025 — conf
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models.
EMNLP (Findings)
Abhay Gupta, Jacob Cheung, Philip Meng, Shayan Sayyed, Kevin Zhu, Austen Liao, Sean O'Brien
2025 J jnl
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models.
CoRR
Abhay Gupta, Jacob Cheung, Philip Meng, Shayan Sayyed, Austen Liao, Kevin Zhu, Sean O'Brien
2025 J jnl
Error Reflection Prompting: Can Large Language Models Successfully Understand Errors?
CoRR
Jason Li, Lauren Yraola, Kevin Zhu, Sean O'Brien
2025 J jnl
Evaluating the Impact of Radiographic Noise on Chest X-ray Semantic Segmentation and Disease Classification Using a Scalable Noise Injection Framework.
CoRR
Derek Jiu, Kiran Nijjer, Nishant Chinta, Ryan Bui, Ben Liu, Kevin Zhu
2025 J jnl
Evaluation Awareness Scales Predictably in Open-Weights Large Language Models.
CoRR
Maheep Chaudhary, Ian Su, Nikhil Hooda, Nishith Shankar, Julia Tan, Kevin Zhu, Ashwinee Panda, Ryan Lagasse, Vasu Sharma
2025 J jnl
FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations.
CoRR
Athena Wen, Tanush Patil, Ansh Saxena, Yicheng Fu, Sean O'Brien, Kevin Zhu
2025 J jnl
FRIT: Using Causal Importance to Improve Chain-of-Thought Faithfulness.
CoRR
Anand Swaroop, Akshat Nallani, Saksham Uboweja, Adiliia Uzdenova, Michael Nguyen, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Vasu Sharma, Maheep Chaudhary
2025 J jnl
Factor(U,T): Controlling Untrusted AI by Monitoring their Plans.
CoRR
Edward Lue Chee Lip, Anthony Channg, Diana Kim, Aaron Sandoval, Kevin Zhu
2025 J jnl
Filtering for Creativity: Adaptive Prompting for Multilingual Riddle Generation in LLMs.
CoRR
Duy Le, Kent Ziti, Evan Girard-Sun, Sean O'Brien, Vasu Sharma, Kevin Zhu
2025 J jnl
From Competition to Coordination: Market Making as a Scalable Framework for Safe and Aligned Multi-Agent LLM Systems.
CoRR
Brendan Gho, Suman Muppavarapu, Afnan Shaik, Tyson Tsay, James Begin, Kevin Zhu, Archana Vaidheeswaran, Vasu Sharma
2025 J jnl
From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs.
CoRR
Stanley Yu, Vaidehi Bulusu, Oscar Yasunaga, Clayton Lau, Cole Blondin, Sean O'Brien, Kevin Zhu, Vasu Sharma
2025 J jnl
Grounding Foundational Vision Models with 3D Human Poses for Robust Action Recognition.
CoRR
Nicholas Babey, Tiffany Gu, Yiheng Li, Cristian Meo, Kevin Zhu
2025 — conf
Improving LLM Abilities in Idiomatic Translation.
COLING Workshops
Sundesh Donthi, Maximilian Spencer, Om Patel, Joon Yong Doh, Eid Rodan, Kevin Zhu, Sean O'Brien
2025 — conf
Improving LLM Abilities in Idiomatic Translation.
FICC (3)
Sundesh Donthi, Maximilian Spencer, Om Patel, Joon Yong Doh, Eid Rodan, Kevin Zhu, Sean O'Brien
2025 J jnl
Inference-Time Chain-of-Thought Pruning with Latent Informativeness Signals.
CoRR
Sophie Li, Nicholas Huang, Nayan Saxena, Nina Luo, Vincent Lin, Kevin Zhu, Sunishchal Dev
2025 J jnl
Interpretable Perturbation Modeling Through Biomedical Knowledge Graphs.
CoRR
Pascal Passigan, Kevin Zhu, Angelina Ning
2025 J jnl
Interpreting the Latent Structure of Operator Precedence in Language Models.
CoRR
Dharunish Yugeswardeenoo, Harshil Nukala, Cole Blondin, Sean O'Brien, Vasu Sharma, Kevin Zhu
2025 J jnl
Limits of Emergent Reasoning of Large Language Models in Agentic Frameworks for Deterministic Games.
CoRR
Chris Su, Harrison Li, Matheus Marques, George Flint, Kevin Zhu, Sunishchal Dev
2025 J jnl
MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered.
CoRR
Imran Mirza, Cole Huang, Ishwara Vasista, Rohan Patil, Asli Akalin, Sean O'Brien, Kevin Zhu
2025 — conf
Modeling Cognitive and Implicit Biases in Multi-Agent Medical Systems for Clinical Diagnoses.
ICCVW
Niyel Hassan, Benjamin Liu, Raghav Thallapragada, Ryan Bui, Nishant Chinta, Ayushman Bisht, Dev J. Chaliha, Kevin Zhu
2025 J jnl
Modeling and Predicting Multi-Turn Answer Instability in Large Language Models.
CoRR
Jiahang He, Rishi Ramachandran, Neel Ramachandran, Aryan Katakam, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Aryan Shrivastava
2025 A* conf
NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts.
EMNLP
Abhay Gupta, Kevin Zhu, Vasu Sharma, Sean O'Brien, Michael Lu
2025 J jnl
NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts.
CoRR
Abhay Gupta, Michael Lu, Kevin Zhu, Sean O'Brien, Vasu Sharma
2025 J jnl
Optimizing Chain-of-Thought Confidence via Topological and Dirichlet Risk Analysis.
CoRR
Abhishek More, Anthony Zhang, Nicole Bonilla, Ashvik Vivekan, Kevin Zhu, Parham Sharafoleslami, Maheep Chaudhary
2025 J jnl
PALADIN: Self-Correcting Language Model Agents to Cure Tool-Failure Cases.
CoRR
Sri Vatsa Vuddanti, Aarav Shah, Satwik Kumar Chittiprolu, Tony Song, Sunishchal Dev, Kevin Zhu, Maheep Chaudhary
2025 J jnl
Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration.
CoRR
James Begin, Namit Agrawal, Eshan Singh, Yicheng Fu, Sean O'Brien, Vasu Sharma, Kevin Zhu
2025 J jnl
Peek-a-Boo Reasoning: Contrastive Region Masking in MLLMs.
CoRR
Isha Chaturvedi, Anjana Nair, Yushen Li, Adhitya Rajendra Kumar, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Vasu Sharma
2025 — conf
Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection.
COLING Workshops
Joshua Lee, Wyatt Fong, Alexander Le, Sur Shah, Kevin Han, Kevin Zhu
2025 J jnl
Probe-Rewrite-Evaluate: A Workflow for Reliable Benchmarks and Quantifying Evaluation Awareness.
CoRR
Lang Xiong, Nishant Bhargava, Jeremy Chang, Jianhang Hong, Haihao Liu, Vasu Sharma, Kevin Zhu
2025 J jnl
Probing Audio-Generation Capabilities of Text-Based Language Models.
CoRR
Arjun Prasaath Anbazhagan, Parteek Kumar, Ujjwal Kaur, Aslihan Akalin, Kevin Zhu, Sean O'Brien
2025 J jnl
Pruning for Performance: Efficient Idiom and Metaphor Classification in Low-Resource Konkani Using mBERT.
CoRR
Timothy Do, Pranav Saran, Harshita Poojary, Pranav Prabhu, Sean O'Brien, Vasu Sharma, Kevin Zhu
2025 J jnl
Reasoning Relay: Evaluating Stability and Interchangeability of Large Language Models in Mathematical Reasoning.
CoRR
Leo Lu, Jonathan Zhang, Sean Chua, Spencer Kim, Kevin Zhu, Sean O'Brien, Vasu Sharma
2025 J jnl
Reliable Weak-to-Strong Monitoring of LLM Agents.
CoRR
Neil Kale, Chen Bo Calvin Zhang, Kevin Zhu, Ankit Aich, Paula Rodriguez, Scale Red Team, Christina Q. Knight, Zifan Wang
2025 J jnl
Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting.
CoRR
Chloe Ho, Ishneet Sukhvinder Singh, Diya Sharma, Tanvi Reddy Anumandla, Michael Lu, Vasu Sharma, Kevin Zhu
2025 — conf
Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning.
NAACL (Student Research Workshop)
Shaun Lee Baek, Shaun Esua-Mensah, Cyrus Tsui, Sejan Vigneswaralingam, Abdullah Alali, Michael Lu, Vasu Sharma, Kevin Zhu
2025 J jnl
Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning.
CoRR
Shaun Lee Baek, Shaun Esua-Mensah, Cyrus Tsui, Sejan Vigneswaralingam, Abdullah Alali, Michael Lu, Vasu Sharma, Sean O'Brien, Kevin Zhu
2025 J jnl
SALT: Steering Activations towards Leakage-free Thinking in Chain of Thought.
CoRR
Shourya Batra, Pierce Tillman, Samarth Gaggar, Shashank Kesineni, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Vasu Sharma, Maheep Chaudhary
2025 J jnl
SMAGDi: Socratic Multi Agent Interaction Graph Distillation for Efficient High Accuracy Reasoning.
CoRR
Aayush Aluru, Myra Malik, Samarth Patankar, Spencer Kim, Kevin Zhu, Sean O'Brien, Vasu Sharma
2025 J jnl
Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques.
CoRR
Lang Xiong, Raina Gao, Alyssa Jeong, Yicheng Fu, Sean O'Brien, Vasu Sharma, Kevin Zhu
2025 J jnl
Semantic Convergence: Investigating Shared Representations Across Scaled LLMs.
CoRR
Daniel Son, Sanjana Rathore, Andrew Rufail, Adrian Simon, Daniel Zhang, Soham Dave, Cole Blondin, Kevin Zhu, Sean O'Brien
2025 J jnl
Shared Parameter Subspaces and Cross-Task Linearity in Emergently Misaligned Behavior.
CoRR
Daniel Aarao Reis Arturi, Eric Zhang, Andrew Ansah, Kevin Zhu, Ashwinee Panda, Aishwarya Balwani
2025 J jnl
Sumudu Neural Operator for ODEs and PDEs.
CoRR
Ben Zelenskiy, Saibilila Abudukelimu, George Flint, Kevin Zhu, Sunishchal Dev
2025 J jnl
SwiftSolve: A Self-Iterative, Complexity-Aware Multi-Agent Framework for Competitive Programming.
CoRR
Adhyayan Veer Singh, Aaron Shen, Brian Law, Ahmed Ismail, Jonas Rohweder, Sean O'Brien, Kevin Zhu
2025 J jnl
TRUTH DECAY: Quantifying Multi-Turn Sycophancy in Language Models.
CoRR
Joshua Liu, Aarav Jain, Soham Takuri, Srihan Vege, Aslihan Akalin, Kevin Zhu, Sean O'Brien, Vasu Sharma
2025 J jnl
The Geometry of Harmfulness in LLMs through Subconcept Probing.
CoRR
McNair Shah, Saleena Angeline, Adhitya Rajendra Kumar, Naitik Chheda, Kevin Zhu, Vasu Sharma, Sean O'Brien, Will Cai
2025 J jnl
TorchTraceAP: A New Benchmark Dataset for Detecting Performance Anti-Patterns in Computer Vision Models.
CoRR
Hanning Chen, Keyu Man, Kevin Zhu, Chenguang Zhu, Haonan Li, Tongbo Luo, Xizhou Feng, Wei Sun, Sreen Tallam, Mohsen Imani, Partha Kanuparthy
2025 J jnl
Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction.
CoRR
Vivaan Sandwar, Bhav Jain, Rishan Thangaraj, Ishaan Garg, Michael Lam, Kevin Zhu
2025 J jnl
TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization.
CoRR
Haonan Li, Keyu Man, Partha Kanuparthy, Hanning Chen, Wei Sun, Sreen Tallam, Chenguang Zhu, Kevin Zhu, Zhiyun Qian
2025 J jnl
UniToMBench: Integrating Perspective-Taking to Improve Theory of Mind in LLMs.
CoRR
Prameshwar Thiyagarajan, Vaishnavi Parimi, Shamant Sai, Soumil Garg, Zhangir Meirbek, Nitin Yarlagadda, Kevin Zhu, Chris Kim
2025 J jnl
Universal Neurons in GPT-2: Emergence, Persistence, and Functional Impact.
CoRR
Advey Nandan, Cheng-Ting Chou, Amrit Kurakula, Cole Blondin, Kevin Zhu, Vasu Sharma, Sean O'Brien
2025 J jnl
WOLF: Werewolf-based Observations for LLM Deception and Falsehoods.
CoRR
Mrinal Agarwal, Saad Rana, Theo Sundoro, Hermela Berhe, Spencer Kim, Vasu Sharma, Sean O'Brien, Kevin Zhu
2025 J jnl
When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models.
CoRR
Michael S. Zhang, Rishi A. Ruia, Arnav Kewalram, Saathvik Dharmapuram, Utkarsh Sharma, Kevin Zhu
2025 J jnl
Willing and able: Task recommendation with a trade-off of the bilateral benefits for knowledge-intensive crowdsourcing.
Decis. Support Syst.
Xicheng Yin, Jing Li, Kevin Zhu, Wei Wang, Hongwei Wang
2024 J jnl
A Comparative Study of Translation Bias and Accuracy in Multilingual Large Language Models for Cross-Language Claim Verification.
CoRR
Aryan Singhal, Veronica Shao, Gary Sun, Ryan Ding, Jonathan Lu, Kevin Zhu
2024 J jnl
A Debate-Driven Experiment on LLM Hallucinations and Accuracy.
CoRR
Ray Li, Tanishka Bagade, Kevin Martinez, Flora Yasmin, Grant Ayala, Michael Lam, Kevin Zhu
2024 J jnl
AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark.
CoRR
Abhay Gupta, Philip Meng, Ece Yurtseven, Sean O'Brien, Kevin Zhu
2024 J jnl
Agent-Based Emulation for Deploying Robot Swarm Behaviors.
CoRR
Ricardo Vega, Kevin Zhu, Connor Mattson, Daniel S. Brown, Cameron Nowzari
2024 J jnl
ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems.
CoRR
Ishneet Sukhvinder Singh, Ritvik Aggarwal, Ibrahim Allahverdiyev, Muhammad Taha, Aslihan Akalin, Kevin Zhu, Sean O'Brien
2024 J jnl
Contrastive Chain-of-Thought Prompting.
CoRR
Grant Kruttschnitt, Jay Shim, Alyssa Ma, Daniel Kim, Benjamin Chek, Athul Anand, Kevin Zhu, Sean O'Brien
2024 J jnl
DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models.
CoRR
Rajat Rawat, Hudson McBride, Dhiyaan Nirmal, Rajarshi Ghosh, Jong Moon, Dhruv Alamuri, Sean O'Brien, Kevin Zhu
2024 J jnl
Enhancing Depression Diagnosis with Chain-of-Thought Prompting.
CoRR
Elysia Shi, Adithri Manda, London Chowdhury, Runeema Arun, Kevin Zhu, Michael Lam
2024 J jnl
Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting.
CoRR
Vijay Goyal, Mustafa Khan, Aprameya Tirupati, Harveer Saini, Michael Lam, Kevin Zhu
2024 J jnl
Enhancing Language Model Reasoning via Weighted Reasoning in Self-Consistency.
CoRR
Tim Knappe, Ryan Li, Ayush Chauhan, Kaylee Chhua, Kevin Zhu, Sean O'Brien
2024 J jnl
Enhancing Robustness of Human Detection Algorithms in Maritime SAR through Augmented Aerial Images to Simulate Weather Conditions.
CoRR
Miguel Tjia, Artem Kim, Elaine Wynette Wijaya, Hanna Tefara, Kevin Zhu
2024 J jnl
Evaluating K-Fold Cross Validation for Transformer Based Symbolic Regression Models.
CoRR
Kaustubh Kislay, Shlok Singh, Soham Joshi, Rohan Dutta, Jay Shim George Flint, Kevin Zhu
2024 J jnl
Fine-Tuning Language Models for Ethical Ambiguity: A Comparative Study of Alignment with Human Responses.
CoRR
Pranav Senthilkumar, Visshwa Balasubramanian, Prisha Jain, Aneesa Maity, Jonathan Lu, Kevin Zhu
2024 J jnl
From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models.
CoRR
Kaylee Chhua, Zhoujinyi Wen, Vedant Hathalia, Kevin Zhu, Sean O'Brien
2024 J jnl
Improving Water Quality Time-Series Prediction in Hong Kong using Sentinel-2 MSI Data and Google Earth Engine Cloud Computing.
CoRR
Rohin Sood, Kevin Zhu
2024 J jnl
Intraoperative Glioma Segmentation with YOLO + SAM for Improved Accuracy in Tumor Resection.
CoRR
Samir Kassam, Angelo Markham, Katie Vo, Yashas Revanakara, Michael Lam, Kevin Zhu
2024 J jnl
Introducing MAPO: Momentum-Aided Gradient Descent Prompt Optimization.
CoRR
Anthony Cui, Pranav Nandyalam, Kevin Zhu
2024 — conf
Medical Imaging Complexity and Its Effects on GAN Performance.
ACCV Workshops (1)
William Cagas, Chan Ko, Blake Hsiao, Shryuk Grandhi, Rishi Bhattacharya, Kevin Zhu, Michael Lam
2024 J jnl
Medical Imaging Complexity and its Effects on GAN Performance.
CoRR
William Cagas, Chan Ko, Blake Hsiao, Shryuk Grandhi, Rishi Bhattacharya, Kevin Zhu, Michael Lam
2024 J jnl
NusaMT-7B: Machine Translation for Low-Resource Indonesian Languages with Large Language Models.
CoRR
William Tan, Kevin Zhu
2024 J jnl
Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection.
CoRR
Joshua Lee, Wyatt Fong, Alexander Le, Sur Shah, Kevin Han, Kevin Zhu
2024 J jnl
QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN Models.
CoRR
Zhumazhan Balapanov, Edward Magongo, Vanessa Matvei, Olivia Holmberg, Jonathan Pei, Kevin Zhu
2024 — conf
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks.
ACL (Student Research Workshop)
Dharunish Yugeswardeenoo, Kevin Zhu, Sean O'Brien
2024 J jnl
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks.
CoRR
Dharunish Yugeswardeenoo, Kevin Zhu, Sean O'Brien
2024 — conf
Spiking Neural Networks as a Controller for Emergent Swarm Agents.
ICONS
Kevin Zhu, Connor Mattson, Shay Snyder, Ricardo Vega, Daniel S. Brown, Maryam Parsa, Cameron Nowzari
2024 J jnl
Spiking Neural Networks as a Controller for Emergent Swarm Agents.
CoRR
Kevin Zhu, Connor Mattson, Shay Snyder, Ricardo Vega, Daniel S. Brown, Maryam Parsa, Cameron Nowzari
2024 J jnl
Time-series Crime Prediction Across the United States Based on Socioeconomic and Political Factors.
CoRR
Patricia Dao, Jashmitha Sappa, Saanvi Terala, Tyson Wong, Michael Lam, Kevin Zhu
2024 J jnl
Turkey's Earthquakes: Damage Prediction and Feature Significance Using A Multivariate Analysis.
CoRR
Shrey Shah, Alex Lin, Scott Lin, Josh Patel, Michael Lam, Kevin Zhu
2023 J jnl
Atom-by-atom protein generation and beyond with language models.
CoRR
Daniel Flam-Shepherd, Kevin Zhu, Alán Aspuru-Guzik
2023 J jnl
Lighter-Than-Air Autonomous Ball Capture and Scoring Robot - Design, Development, and Deployment.
CoRR
Joseph Prince Mathew, Dinesh Karri, James Yang, Kevin Zhu, Yojan Gautam, Kentaro Nojima-Schmunk, Daigo Shishika, Ningshi Yao, Cameron Nowzari
2023 J jnl
Simulate Less, Expect More: Bringing Robot Swarms to Life via Low-Fidelity Simulations.
CoRR
Ricardo Vega, Kevin Zhu, Sean Luke, Maryam Parsa, Cameron Nowzari
2023 J jnl
Swarm Mechanics and Swarm Chemistry: A Transdisciplinary Approach for Robot Swarms.
CoRR
Ricardo Vega, Kevin Zhu, Connor Mattson, Daniel S. Brown, Cameron Nowzari
2023 — conf
VICE: View-Invariant Chess Estimation.
icSPORTS
Kevin Zhu, Alexander Wong, John McPhee
2023 — conf
Zespol: A Lightweight Environment for Training Swarming Agents.
ICONS
Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa
2023 J jnl
Zespol: A Lightweight Environment for Training Swarming Agents.
CoRR
Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa
2022 J jnl
Distinguishing luck from skill through statistical simulation: a case study.
Commun. Stat. Simul. Comput.
Zhaoyu Guo, Irwin Khuu, Kevin Zhu, Jeffrey S. Rosenthal, Frederic Paik Schoenberg
2022 — conf
FenceNet: Fine-grained Footwork Recognition in Fencing.
CVPR Workshops
Kevin Zhu, Alexander Wong, John McPhee
2022 J jnl
FenceNet: Fine-grained Footwork Recognition in Fencing.
CoRR
Kevin Zhu, Alexander Wong, John McPhee
2022 J jnl
Motivating participation in crowdsourcing contests: The role of instruction-writing strategy.
Inf. Manag.
Xicheng Yin, Kevin Zhu, Hongwei Wang, Jiaping Zhang, Wei Wang, Heng Zhang
2021 J jnl
Competition Among Proprietary and Open-Source Software Firms: The Role of Licensing in Strategic Contribution.
Manag. Sci.
Terrence August, Wei Chen, Kevin Zhu
2021 J jnl
Keeping it Simple: Language Models can learn Complex Molecular Distributions.
CoRR
Daniel Flam-Shepherd, Kevin Zhu, Alán Aspuru-Guzik
2020 J jnl
Emphasizing the entrepreneur or the idea? The impact of text content emphasis on investment decisions in crowdfunding.
Decis. Support Syst.
Wei Wang, Wei Chen, Kevin Zhu, Hongwei Wang
2019 J jnl
Understanding Childhood Vulnerability in The City of Surrey.
CoRR
Cody Griffith, Varoon Mathur, Catherine Lin, Kevin Zhu
2017 J jnl
The Impact of Sentiment Orientations on Successful Crowdfunding Campaigns through Text Analytics.
IET Softw.
Wei Wang, Kevin Zhu, Hongwei Wang, Yen-Chun Jim Wu
2016 — conf
Competitive Poaching of Customers in Mobile Service Market.
HICSS
Xiahua Wei, Kevin Zhu
2016 — conf
The Influence of Consumers' Information Search Behavior on Purchase Decisions for Experience Goods: Empirical Evidence from Hotel Industry.
WHICEB
Daying Zhao, Qiang Ye, Kevin Zhu
2015 — conf
Motivating User Contributions in Online Knowledge Communities: Virtual Rewards and Reputation.
HICSS
Xiahua Wei, Wei Chen, Kevin Zhu
2013 — conf
"Release Early, Release Often"? An Empirical Analysis of Release Strategy in Open Source Software Co-Creation.
PACIS
Wei Chen, Vish Krishnan, Kevin Zhu
2010 C conf
Pro-Competition Public Policy in Network Markets with Switching Costs: Evidence from "Mobile Number Portability" in Wireless Telecommunications Industry.
ICIS
Xiahua Wei, Kevin Zhu
2008 J jnl
How Does Information Technology Shape Supply-Chain Structure? Evidence on the Number of Suppliers.
J. Manag. Inf. Syst.
Jason L. Dedrick, Sean Xin Xu, Kevin Zhu
2008 — conf
Information Technology and the Number of Suppliers in a Supply Chain: Is There a Relationship?
HICSS
Jason L. Dedrick, Sean Xin Xu, Kevin Zhu
2008 — conf
The Business Value of CRM Systems: A Resource-Based Perspective.
HICSS
Shutao Dong, Kevin Zhu
2007 C conf
Conflict of Interest Regarding Information Transparency in a Business-to-Business Electronic Market with Two-Sided Competition.
ICIS
Kevin Zhu, Zach Zhizhong Zhou
2006 J jnl
Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies.
Eur. J. Inf. Syst.
Kevin Zhu, Shutao Dong, Sean Xin Xu, Kenneth L. Kraemer
2006 J jnl
Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level.
Inf. Manag.
Weiyin Hong, Kevin Zhu
2006 J jnl
Migration to Open-Standard Interorganizational Systems: Network Effects, Switching Costs, and Path Dependency.
MIS Q.
Kevin Zhu, Kenneth L. Kraemer, Vijay Gurbaxani, Sean Xin Xu
2006 C conf
Platform Battle with Lock-in.
ICIS
Zhizhong Patrick Zhou, Kevin Zhu
2006 J jnl
The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business.
Manag. Sci.
Kevin Zhu, Kenneth L. Kraemer, Sean Xin Xu
2005 J jnl
Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry.
Inf. Syst. Res.
Kevin Zhu, Kenneth L. Kraemer
2004 — conf
Economic Implications of B2B Electronic Markets: The Private and Social Desirability of Information Transparency.
HICSS
Kevin Zhu
2004 — conf
Factors Affecting E-Business Diffusion in Organizations: Differences between Developed and Developing Countries.
AMCIS
Sean Xin Xu, Kevin Zhu, Kenneth L. Kraemer
2004 J jnl
Global Technology, Local Adoption: A Cross-Country Investigation of Internet Adoption by Companies in the United States and China.
Electron. Mark.
Sean Xin Xu, Kevin Zhu, Jennifer Gibbs
2004 J jnl
Information Technology Payoff in E-Business Environments: An International Perspective on Value Creation of E-Business in the Financial Services Industry.
J. Manag. Inf. Syst.
Kevin Zhu, Kenneth L. Kraemer, Sean Xin Xu, Jason L. Dedrick
2004 J jnl
Information Transparency of Business-to-Business Electronic Markets: A Game-Theoretic Analysis.
Manag. Sci.
Kevin Zhu
2004 J jnl
The Complementarity of Information Technology Infrastructure and E-Commerce Capability: A Resource-Based Assessment of Their Business Value.
J. Manag. Inf. Syst.
Kevin Zhu
2004 C conf
The Value of Information Technology in E-Business Environments: The Missing Links in the Renewed IT Value Debate.
ICIS
Kevin Zhu, Sean Xin Xu
2003 C conf
Assessing Drivers of E-Business Value: Results of a Cross-Country Study.
ICIS
Kevin Zhu, Sean Xin Xu, Jason L. Dedrick
2003 J jnl
Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors.
Eur. J. Inf. Syst.
Kevin Zhu, Kenneth L. Kraemer, Sean Xin Xu
2003 J jnl
Strategic Decisions of New Technology Adoption under Asymmetric Information: A Game-Theoretic Model.
Decis. Sci.
Kevin Zhu, John Weyant
2003 J jnl
The economics of digital bundling: the impact of digitization and bundling on the music industry.
Commun. ACM
Kevin Zhu, Bryan MacQuarrie
2002 C conf
A Cross-Country Study of Electronic Business Adoption Using the Technology-Organization-Environment Framework.
ICIS
Kevin Zhu, Kenneth L. Kraemer, Sean Xin Xu
2002 J jnl
Information Transparency in Electronic Marketplaces: Why Data Transparency May Hinder the Adoption of B2B Exchanges.
Electron. Mark.
Kevin Zhu
2002 J jnl
Using Real Options Analysis for Evaluating Uncertain Investments in Information Technology: Insights from the ICIS 2001 Debate.
Commun. Assoc. Inf. Syst.
Paul P. Tallon, Robert J. Kauffman, Henry C. Lucas Jr., Andrew B. Whinston, Kevin Zhu
2002 J jnl
e-Commerce Metrics for Net-Enhanced Organizations: Assessing the Value of e-Commerce to Firm Performance in the Manufacturing Sector.
Inf. Syst. Res.
Kevin Zhu, Kenneth L. Kraemer
2001 J jnl
Internet-based Distribution of Digital Videos: The Impact on the Motion Picture Industry.
Electron. Mark.
Kevin Zhu