Chi Han

Orcid: 0000-0001-6043-8045

According to our database1, Chi Han authored at least 26 papers between 2019 and 2025.

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

Timeline

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Bibliography

2025
Robust sensing matrix design for the Orthogonal Matching Pursuit algorithm in compressive sensing.
Signal Process., 2025

2024
Deep Reinforcement Learning with Local Attention for Single Agile Optical Satellite Scheduling Problem.
Sensors, October, 2024

A multi-modal multi-objective evolutionary algorithm based on dual decomposition and subset selection.
Swarm Evol. Comput., February, 2024

MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders.
CoRR, 2024

Towards LifeSpan Cognitive Systems.
CoRR, 2024

Eliminating Position Bias of Language Models: A Mechanistic Approach.
CoRR, 2024

LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning.
CoRR, 2024

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Why Does New Knowledge Create Messy Ripple Effects in LLMs?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Word Embeddings Are Steers for Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Load-Balancing Routing for LEO Satellite Network with Distributed Hops-Based Back-Pressure Strategy.
Sensors, December, 2023

Large Language Models on Graphs: A Comprehensive Survey.
CoRR, 2023

InfoPattern: Unveiling Information Propagation Patterns in Social Media.
CoRR, 2023

LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models.
CoRR, 2023

CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation.
CoRR, 2023

LM-Switch: Lightweight Language Model Conditioning in Word Embedding Space.
CoRR, 2023

In-Context Learning of Large Language Models Explained as Kernel Regression.
CoRR, 2023

Understanding the Effect of Data Augmentation on Knowledge Distillation.
CoRR, 2023

RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought.
CoRR, 2023

Tool Learning with Foundation Models.
CoRR, 2023

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Defining a New NLP Playground.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Zero-Shot Classification by Logical Reasoning on Natural Language Explanations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021
Learning Shared Semantic Space for Speech-to-Text Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2019
Visual Concept-Metaconcept Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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