Shiting Huang
Shiting Huang has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Feng Zhao, Zehui Chen, Zhen Fang.
OpenAlex · h-index 10 · 23 works · 694 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 12 times in our library · ⭐ Paper Stars ranking: #9567
Affiliations
🏛️Guangdong Academy of SciencesGuangzhou ·
China2023–2025 · 3 papers🎓Nanning Normal UniversityNanning ·
China2025 · 1 paper🎓University of Science and Technology of ChinaHefei ·
China2025 · 1 paper🎓Zhongkai University of Agriculture and EngineeringGuangzhou ·
China2020–2024 · 6 papers🏛️Chinese Academy of SciencesBeijing ·
China2014–2017 · 4 papers🔬Shanghai Institute of CeramicsShanghai ·
China2014–2017 · 4 papers🔬State Key Laboratory of High Performance Ceramics and Superfine MicrostructureShanghai2014–2017 · 4 papers🎓University of Chinese Academy of SciencesBeijing ·
China2014–2016 · 3 papers🎓Hunan UniversityChangsha ·
China2012–2015 · 3 papers
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work
Works by year
2020s
Papers
- CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios (2025 · 12 citations)
LLM agents that call external tools often run into problems during long, multi-step tasks. Existing tool-use benchmarks mostly compare final outputs with gold answers, so they do not show whether a model can notice a mistake, diagnose it and recover. The authors first examined failures on several established tool… - Beyond Accuracy: Unveiling Inefficiency Patterns in Tool-Integrated Reasoning (2026 · 2 citations)
Agents that alternate between LLM reasoning and external tool calls are usually judged on accuracy. When efficiency is reported, it is often reduced to counting tokens or tool invocations. The authors argue that these counts misrepresent real inference latency in Tool-Integrated Reasoning (TIR). Pauses for tool…
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
Cited by
Updated
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