Yikai Zhang

Affiliations:
  • Fudan University, School of Data Science, Shanghai, China


According to our database1, Yikai Zhang authored at least 15 papers between 2023 and 2025.

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

Timeline

Legend:

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Bibliography

2025
ARIA: Training Language Agents with Intention-Driven Reward Aggregation.
CoRR, June, 2025

Can LLMs Learn to Map the World from Local Descriptions?
CoRR, May, 2025

ARM: Adaptive Reasoning Model.
CoRR, May, 2025

PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention.
CoRR, March, 2025

MCiteBench: A Benchmark for Multimodal Citation Text Generation in MLLMs.
CoRR, March, 2025

SELFGOAL: Your Language Agents Already Know How to Achieve High-level Goals.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Revealing the Barriers of Language Agents in Planning.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

DEEPER Insight into Your User: Directed Persona Refinement for Dynamic Persona Modeling.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
From Persona to Personalization: A Survey on Role-Playing Language Agents.
Trans. Mach. Learn. Res., 2024

DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Can Large Language Models Understand Real-World Complex Instructions?
CoRR, 2023

Beyond the Obvious: Evaluating the Reasoning Ability In Real-life Scenarios of Language Models on Life Scapes Reasoning Benchmark~(LSR-Benchmark).
CoRR, 2023

HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023


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