Jiang Li
Jiang Li has 3 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Efficient models & compression; often with Guanglai Gao, Tian Lan, Xiangdong Su.
OpenAlex · h-index 0 · 11 works · 0 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 1 time in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11377
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workSocial Sciences · 2 worksSafety Research · 1 workSociology and Political Science · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksEfficient models & compression · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization (2026 · 1 citation)
The paper asks why weight-only post-training quantization (PTQ) of LLMs behaves acceptably at 4-bit but breaks down almost completely at 2-bit. - Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language Models (2026)
The paper asks whether Chinese LLMs adapt their conversational style to social signals that are only implied in a user's message, rather than stated in an instruction. - ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood Model (2026)
ToMELP is a benchmark that tests whether large language models can infer a listener's mental state during a persuasive conversation and then use that inference to shape what they say.
All works
- From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM QuantizationFindings of the Association for Computational LinguisticsChenxi Zhou, Pengfei Cao, Jiang Li, et al.2026 · 1 citation
- ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood ModelFindings of the Association for Computational LinguisticsRuirui Wang, Haoran Zhang, Tian Lan, et al.2026
- Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetChenxi Zhou et al.2026
Co-authors here
- Guanglai Gao ×2
- Tian Lan ×2
- Xiangdong Su ×2
- Zehua Duo ×2
- Bohan Yu
- Haoran Zhang
- Jun Zhao
- Kang Liu
- Pengfei Cao
- Xu Liu
- Yu Tian
- Ziming Li
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: ACL 2026
Cited by
Updated
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