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Tong Niu

4 papers hereh-index 4106 citations5 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.LG1
same name
  • Tong Niu — 15 papers, h 22
  • Tong Niu — 7 papers, h 3
  • Tong Niu — 1 paper, h 26
  • Tong Niu — 1 paper, h 2
  • Tong Niu — 1 paper, h 2

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

most citedJudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking

3 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024★ 3 cited

JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking

Tong Niu, Shafiq Joty, Ye Liu +3

Accurate document retrieval is crucial for the success of retrieval-augmented generation (RAG) applications, including open-domain question answering and code completion. While lar…

cs.LG2024★ 1 cited

Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Zhenwen Liang, Ye Liu, Tong Niu +3

Despite significant advancements in the general capability of large language models (LLMs), they continue to struggle with consistent and accurate reasoning, especially in complex…

cs.CL2024★ 1 cited

Parameter-Efficient Detoxification with Contrastive Decoding

Tong Niu, Caiming Xiong, Semih Yavuz +1

The field of natural language generation has witnessed significant advancements in recent years, including the development of controllable text generation techniques. However, cont…

cs.CL2023★ 1 cited

DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text

Wenting Zhao, Ye Liu, Tong Niu +5

Large Language Models (LLMs) have exhibited impressive generation capabilities, but they suffer from hallucinations when solely relying on their internal knowledge, especially when…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.