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Jiaheng Liu

28 papers hereh-index 13546 citations34 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author24
  • last author1

Across the 27 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CL21
  • cs.AI3
  • cs.CR1
  • cs.CV1
  • cs.LG1
  • cs.MM1
same name
  • Jiaheng Liu — 49 papers, h 17
  • Jiaheng Liu — 40 papers, h 9
  • Jiaheng Liu — 30 papers, h 16
  • Jiaheng Liu — 10 papers, h 14
  • Jiaheng Liu — 5 papers, h 5
  • Jiaheng Liu — 5 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedMT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues

52 citations · 64 across the 26 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2025

Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models

Baihui Zheng, Boren Zheng, Kerui Cao +9

Despite the remarkable proficiency of \textit{Large Reasoning Models} (LRMs) in handling complex reasoning tasks, their reliability in safety-critical scenarios remains uncertain.…

cs.AI2025

Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT Distillation

Yijia Luo, Yulin Song, Xingyao Zhang +5

Recent advancements in large language models (LLMs) have demonstrated remarkable reasoning capabilities through long chain-of-thought (CoT) reasoning. The R1 distillation scheme ha…

cs.AI2025★ 1 cited

Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models

Yingshui Tan, Yilei Jiang, Yanshi Li +6

Fine-tuning large language models (LLMs) based on human preferences, commonly achieved through reinforcement learning from human feedback (RLHF), has been effective in improving th…

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