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Qingcheng Zeng

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards
2025 · Wu, Fang, Tu, Aaron, et al. · arXiv (Cornell University) · 18
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NOVA: NOise-aware Verbal Confidence CAlibration for Robust Large Language Models in RAG Systems
2026 · Jiayu Liu, Rui Wang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 15
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The Pragmatic Mind of Machines: Tracing the Emergence of Pragmatic Competence in Large Language Models
2026 · Kefan Yu, Qingcheng Zeng, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 10
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Verified Critical Step Optimization for LLM Agents
2026 · Li, Mukai, Zeng, Qingcheng, et al. · arXiv (Cornell University) · 8
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Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work
2026 · Chen, Wenhui, Cheng, Shiwen, et al. · arXiv (Cornell University) · 4
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Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus
2026 · Lu, Yuheng, Zeng, Qingcheng, et al. · arXiv (Cornell University) · 4
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Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs
2026 · Jin, Mingyu, Yin, Yutong, et al. · arXiv (Cornell University) · 4
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RAPTOR: Ridge-Adaptive Logistic Probes
2026 · Gao, Ziqi, Zhu, Yaotian, et al. · arXiv (Cornell University) · 2
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Fractal Dimensions of Generalized Sierpiński Networks
2026 · Jiantao Liu, Cheng Zeng, et al. · Fractals
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RealControlBench: A Benchmark for Interpretability-Informed Fine-Grained Control of LLMs and Agents
2026 · Cai, Xinying, Hu, Bin, et al. · arXiv (Cornell University)
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OSWorld-Science: A Benchmark of Computer Use Agents for Learning and Using Scientific Software
2026 · Dai, Dingyuan, Qi, Heli, et al. · arXiv (Cornell University)
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Finding the Right Tables and Columns: A Benchmark and Corpus-Adaptive Embeddings for SQL Schema Retrieval
2026 · Zeng, Qingcheng, Yu, Puxuan, et al. · arXiv (Cornell University)
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How to Improve LLMs' Performance on Specific Languages: A Perspective on LLM-Derived Language Similarity
2026 · Association for Computational Linguistics 2026, Shi, Xinhe, et al. · Underline Science Inc.
The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents
2026 · Association for Computational Linguistics 2026, Qi, Heli, et al. · Underline Science Inc.
On the Effect of Hyperparameters in Language Modeling for Computational Linguistics
2026 · Association for Computational Linguistics 2026, Kuribayashi, Tatsuki, et al. · Underline Science Inc.
Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers
2026 · Association for Computational Linguistics 2026, Lu, Yuheng, et al. · Underline Science Inc.
Verified Critical Step Optimization for LLM Agents
2026 · Association for Computational Linguistics 2026, Fang, T, et al. · Underline Science Inc.
DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router
2026 · Association for Computational Linguistics 2026, Cheng, Wei, et al. · Underline Science Inc.
TASER: Table Agents for Schema-guided Extraction and Recommendation
2026 · Association for Computational Linguistics 2026, Li, Wanxin, et al. · Underline Science Inc.
The Pragmatic Mind of Machines: Tracing the Emergence of Pragmatic Competence in Large Language Models
2026 · Association for Computational Linguistics 2026, Li, Wanxin, et al. · Underline Science Inc.
Dual-View Training for Instruction-Following Information Retrieval
2026 · Qingcheng Zeng, Puxuan Yu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 21
Citation count: 65
H-index: 4
I10-index: 3
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