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researcher

Yi Jiang

8 papers hereh-index 5212 citations11 works total

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

author position
  • first author4
  • middle author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI2
  • cs.CV1
  • cs.IR1
same name
  • Yi Jiang — 18 papers, h 7
  • Yi Jiang — 14 papers, h 0
  • Yi Jiang — 13 papers, h 14
  • Yi Jiang — 13 papers, h 5
  • Yi Jiang — 9 papers, h 14
  • Yi Jiang — 9 papers, h 14

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
20232026
most citedIncomplete Contrastive Multi-View Clustering with High-Confidence Guiding

6 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CL2025

BARD: budget-aware reasoning distillation

Lujie Niu, Lei Shen, Yi Jiang +4

While long Chain-of-Thought (CoT) distillation effectively transfers reasoning capability to smaller language models, the reasoning process often remains redundant and computationa…

cs.AI2025

QAgent: A modular Search Agent with Interactive Query Understanding

Yi Jiang, Lei Shen, Lujie Niu +3

Large language models (LLMs) excel at natural language tasks but are limited by their static parametric knowledge, especially in knowledge-intensive task. Retrieval-augmented gener…

cs.CL2025

CoCoA: Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy

Yi Jiang, Sendong Zhao, Jianbo Li +4

Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs), especially for knowledge-intensive tasks. Despite its advantages, current RAG methods often struggle to…

cs.IR2025

GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis

Yi Jiang, Sendong Zhao, Jianbo Li +2

The Retrieval-Augmented Generation (RAG) framework introduces a retrieval module to dynamically inject retrieved information into the input context of large language models (LLMs),…

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