Zhuokai Zhao

According to our database1, Zhuokai Zhao authored at least 27 papers between 2023 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding.
CoRR, August, 2025

CircuitProbe: Dissecting Spatiotemporal Visual Semantics with Circuit Tracing.
CoRR, July, 2025

Boosting LLM Reasoning via Spontaneous Self-Correction.
CoRR, June, 2025

DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data.
CoRR, May, 2025

S'MoRE: Structural Mixture of Residual Experts for LLM Fine-tuning.
CoRR, April, 2025

Transfer between Modalities with MetaQueries.
CoRR, April, 2025

CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning.
CoRR, March, 2025

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment.
CoRR, January, 2025

Quantifying Generalization Complexity for Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HumanMM: Global Human Motion Recovery from Multi-shot Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Autonomous Multimodal Reasoning via Implicit Chain-of-Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decoding.
CoRR, 2024

Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding.
CoRR, 2024

Preference Optimization with Multi-Sample Comparisons.
CoRR, 2024

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
CoRR, 2024

RankCLIP: Ranking-Consistent Language-Image Pretraining.
CoRR, 2024

AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition.
CoRR, 2024

Direct Acquisition Optimization for Low-Budget Active Learning.
CoRR, 2024

AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multimodal Guidance Network for Missing- Modality Inference in Content Moderation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023
RELAX: Reinforcement Learning Enabled 2D-LiDAR Autonomous System for Parsimonious UAVs.
CoRR, 2023

Multi-Modality Guidance Network For Missing Modality Inference.
CoRR, 2023

Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits.
CoRR, 2023

Breaking the Curse of Quality Saturation with User-Centric Ranking.
CoRR, 2023


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