Zheng Chu

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
LiveBrowseComp: Are Search Agents Searching, or Just Verifying What They Already Know?
CoRR, May, 2026

The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration.
CoRR, March, 2026

Scalable Multilingual Multimodal Machine Translation with Speech-Text Fusion.
CoRR, February, 2026

REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents.
CoRR, February, 2026

Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models.
CoRR, January, 2026

Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models.
CoRR, January, 2026

Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization.
CoRR, January, 2026

From Sampling to Cognition: Modeling Internal Cognitive Confidence in Language Models for Robust Uncertainty Calibration.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

CCFQA: A Benchmark for Cross-Lingual and Cross-Modal Speech and Text Factuality Evaluation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering.
CoRR, May, 2025

Success is in the Details: Evaluate and Enhance Details Sensitivity of Code LLMs through Counterfactuals.
CoRR, May, 2025

Is Compression Really Linear with Code Intelligence?
CoRR, May, 2025

Transformer-based latency prediction for stream processing task.
J. King Saud Univ. Comput. Inf. Sci., 2025

Learning to break: Knowledge-enhanced reasoning in multi-agent debate system.
Neurocomputing, 2025

Multi-modal multi-agent debate-based dialectical knowledge transfer learning.
Appl. Soft Comput., 2025

Exploring the Capabilities of Chinese LLMs in the Legal Field.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

MPFL: A Decentralised Federated Learning Framework Based on Multi-Population Genetic Algorithm.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Towards Faithful Multi-step Reasoning through Fine-Grained Causal-aware Attribution Reasoning Distillation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Non-Invasive Continuous PPG-Based Blood Pressure Monitoring on Mobile Devices via Knowledge Distillation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Decomposition strategy and attention-based long short-term memory network for multi-step ultra-short-term agricultural power load forecasting.
Expert Syst. Appl., March, 2024

Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Reconstruction of online and offline integrated teaching modes in colleges and universities based on artificial intelligence.
Proceedings of the 2024 3rd International Conference on Artificial Intelligence and Education, 2024

Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Apollo's Oracle: Retrieval-Augmented Reasoning in Multi-Agent Debates.
CoRR, 2023

A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.
CoRR, 2023

Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion.
CoRR, 2023

MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022


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