Wei Liu

Orcid: 0009-0009-4327-1920

Affiliations:
  • Xiaomi, Beijing, China


According to our database1, Wei Liu authored at least 35 papers between 2023 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Attention Basin: Why Contextual Position Matters in Large Language Models.
CoRR, August, 2025

Hijacking JARVIS: Benchmarking Mobile GUI Agents against Unprivileged Third Parties.
CoRR, July, 2025

TaP: A Taxonomy-Guided Framework for Automated and Scalable Preference Data Generation.
CoRR, June, 2025

Heterogeneous Group-Based Reinforcement Learning for LLM-based Multi-Agent Systems.
CoRR, June, 2025

BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanism.
CoRR, May, 2025

Enhance Mobile Agents Thinking Process Via Iterative Preference Learning.
CoRR, May, 2025

Mobile-Bench-v2: A More Realistic and Comprehensive Benchmark for VLM-based Mobile Agents.
CoRR, May, 2025

Optimize Quantization for Large Language Models via Progressive Training.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

ReachAgent: Enhancing Mobile Agent via Page Reaching and Operation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MobileSteward: Integrating Multiple App-Oriented Agents with Self-Evolution to Automate Cross-App Instructions.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache Optimization.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Browsing Like Human: A Multimodal Web Agent with Experiential Fast-and-Slow Thinking.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Global Eye: Breaking the "Fixed Thinking Pattern" during the Instruction Expansion Process.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

HoPE: A Novel Positional Encoding Without Long-Term Decay for Enhanced Context Awareness and Extrapolation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models.
CoRR, 2024

MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Mixture of Diverse Size Experts.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLM.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

A Comprehensive Evaluation of Quantization Strategies for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
From Indeterminacy to Determinacy: Augmenting Logical Reasoning Capabilities with Large Language Models.
CoRR, 2023

CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?
CoRR, 2023

UniMC: A Unified Framework for Long-Term Memory Conversation via Relevance Representation Learning.
CoRR, 2023

Overview of the NLPCC 2023 Shared Task 9: User Feedback Prediction and Response Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2023


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