Huanxuan Liao

Awesome-LLM-Long-Context-Modeling. 📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥

SparK. [AAAI 2026] SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning

NesyCD. [AAAI 2025] Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks

TAGI. [NeurIPS 2024] From Instance Training to Instruction Learning: Task Adapters Generation from Instructions

Awesome-Latent-Reasoning. 🔥 Must-read papers for LLM-based Latent Reasoning

IAG. [COLING 2025] Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering

SpaRTA. [ACL 2026 Main] Spectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs

ResAdapt. ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning

HyCo2. Beyond Hard and Soft: Hybrid Context Compression for Balancing Local and Global Information Retention

SKIntern. [COLING 2025] SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models

MyArxiv. CSS

LMTuner. Lingo: Make the LLM Better for Everyone

Xnhyacinth.

Program. JavaScript

cl. Python

LLMR. Python

Xnhyacinth.github.io. I'm here! 😎 Personal Home Page 👋🏠

moon_eval. Python

rag_survey.

MySkills. HTML