Huanxuan Liao
10 papers · 2024–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (27) 🤝 Dynamic Duo (10) 💎 Century Club · Bronze
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI
(8)
Machine Learning
(5)
Deep Learning
(4)
Application Areas
(4)
Learning Types · Deep Learning
(4)
Natural Language Processing
(3)
Learning Paradigms · Artificial Intelligence
(3)
Resources & Methods
(2)
Applications
(1)
Core Methods
(1)
Generation
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Keywords
large language model
(6)
knowledge distillation
(3)
continual learning
(2)
small language model
(2)
parameter-efficient fine-tuning
(2)
inductive reasoning
(1)
question answering
(1)
curriculum learning
(1)
zero-shot generalization
(1)
kv cache
(1)
instruction fine-tuning
(1)
instruction learning
(1)
inference efficiency
(1)
retrieval-augmented generation
(1)
low-rank adaptation
(1)
cross-task generalization
(1)
parameter generation
(1)
task adapter
(1)
task adaptation
(1)
llm evaluation
(1)
Papers
Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs
ACL 2026
Shuttle Between Symbolic Instructions and Neural Parameters of Large Language Models
ACL 2026
SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning
AAAI 2026
Spectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs
ACL 2026
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering
COLING 2025
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance
AAAI 2025
Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity
ACL 2025
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
AAAI 2025
SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models
COLING 2025
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
NeurIPS 2024