Dongliang Xu
18 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
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Conferences
EMNLP (8)
ACL (3)
COLING (3)
NIPS (3)
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Keywords
large language model
(10)
transfer learning
(2)
knowledge transfer
(2)
length extrapolation
(2)
positional encoding
(2)
few-shot learning
(2)
inference acceleration
(2)
attention mechanism
(2)
speculative decoding
(2)
preference optimization
(1)
prompt engineering
(1)
in-context learning
(1)
continual learning
(1)
text summarization
(1)
knowledge distillation
(1)
prompt learning
(1)
benchmark evaluation
(1)
dynamic routing
(1)
model architecture
(1)
multilingual summarization
(1)
Papers
Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents
AAAI 2026
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling
ACL 2025
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection
ACL 2025
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information
COLING 2025
Improving Factual Consistency in Abstractive Summarization with Sentence Structure Pruning
COLING 2024
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models
COLING 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers
NIPS 2024
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability
NIPS 2024
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
NIPS 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models
ACL 2024
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
EMNLP 2024
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding
EMNLP 2024
Advancing Large Language Model Attribution through Self-Improving
EMNLP 2024
Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts
EMNLP 2024
Extending Context Window of Large Language Models from a Distributional Perspective
EMNLP 2024
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization
EMNLP 2024
Instance-Guided Prompt Learning for Few-Shot Text Matching
EMNLP 2022
TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation
EMNLP 2022