King Zhu

According to our database1, King Zhu authored at least 20 papers between 2024 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization.
CoRR, February, 2026

MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025
How Far Are We from Genuinely Useful Deep Research Agents?
CoRR, December, 2025

From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence.
CoRR, November, 2025

A<sup>2</sup>FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning.
CoRR, October, 2025

ACADREASON: Exploring the Limits of Reasoning Models with Academic Research Problems.
CoRR, October, 2025

Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution.
CoRR, September, 2025

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL.
CoRR, August, 2025

OAgents: An Empirical Study of Building Effective Agents.
CoRR, June, 2025

Scaling Test-time Compute for LLM Agents.
CoRR, June, 2025

TaskCraft: Automated Generation of Agentic Tasks.
CoRR, June, 2025

IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs.
CoRR, April, 2025

OAgents: An Empirical Study of Building Effective Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

MIO: A Foundation Model on Multimodal Tokens.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LIME: Less Is More for MLLM Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale.
CoRR, 2024

MIO: A Foundation Model on Multimodal Tokens.
CoRR, 2024

LIME: Less Is More for MLLM Evaluation.
CoRR, 2024


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