Huanxuan Liao
10 papers · 2024–2026 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (11) πΊοΈ Taxonomy Completionist (23)
β‘
Prolific Year
(5)
Conferences
ACL (4)
AAAI (3)
COLING (2)
NIPS (1)
Top co-authors
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
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
Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs
ACL 2026
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering
COLING 2025
SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models
COLING 2025
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance
AAAI 2025
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
AAAI 2025
Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity
ACL 2025
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
NIPS 2024