Shijue Huang

Orcid: 0000-0001-9443-7948

According to our database1, Shijue Huang authored at least 29 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents.
CoRR, May, 2026

Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows.
CoRR, April, 2026

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence.
CoRR, April, 2026

AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios.
CoRR, February, 2026

From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics.
CoRR, January, 2026

AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting.
Trans. Mach. Learn. Res., 2026

CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Environment Scaling for Interactive Agentic Experience Collection: A Survey.
CoRR, November, 2025

SELF-REDRAFT: Eliciting Intrinsic Exploration-Exploitation Balance in Test-Time Scaling for Code Generation.
CoRR, November, 2025

MPFToD: a modularized pre-training framework for consistency identification in task-oriented dialogue.
Frontiers Comput. Sci., October, 2025

ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping.
CoRR, October, 2025

OTC: Optimal Tool Calls via Reinforcement Learning.
CoRR, April, 2025

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs.
CoRR, April, 2025

UI-TARS: Pioneering Automated GUI Interaction with Native Agents.
CoRR, January, 2025

CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
What do they "meme"? A metaphor-aware multi-modal multi-task framework for fine-grained meme understanding.
Knowl. Based Syst., 2024

Towards Real-World Stickers Use: A New Dataset for Multi-Tag Sticker Recognition.
CoRR, 2024

CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models.
CoRR, 2024

SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-Modal Intent Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Improving Few-Shot and Zero-Shot Entity Linking with Coarse-to-Fine Lexicon-Based Retriever.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
CGIM: A Cycle Guided Interactive Learning Model for Consistency Identification in Task-oriented Dialogue.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Frequently Asked Question Pair Generation for Rule and Regulation Document.
Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2022, 2022

2021
Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021


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