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Xing Sun

8 papers hereh-index 6352 citations9 works total

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

author position
  • middle author2
  • last author6

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

fields
  • cs.CL6
  • cs.CE1
  • cs.CV1
same name
  • Xing Sun — 41 papers, h 36
  • Xing Sun — 23 papers, h 5
  • Xing Sun — 18 papers, h 7
  • Xing Sun — 15 papers, h 9
  • Xing Sun — 15 papers, h 5
  • Xing Sun — 13 papers, h 4

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 citedVITA: Towards Open-Source Interactive Omni Multimodal LLM

5 citations · 12 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024★ 5 cited

VITA: Towards Open-Source Interactive Omni Multimodal LLM

Chaoyou Fu, Haojia Lin, Zuwei Long +16

The remarkable multimodal capabilities and interactive experience of GPT-4o underscore their necessity in practical applications, yet open-source models rarely excel in both areas.…

cs.CE2024★ 2 cited

FinVerse: An Autonomous Agent System for Versatile Financial Analysis

Siyu An, Qin Li, Junru Lu +2

With the significant advancements in cognitive intelligence driven by LLMs, autonomous agent systems have attracted extensive attention. Despite this growing interest, the developm…

cs.CL2024

Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence

Junru Lu, Jiazheng Li, Siyu An +4

Direct Preference Optimization (DPO) has emerged as a prominent algorithm for the direct and robust alignment of Large Language Models (LLMs) with human preferences, offering a mor…

cs.CL2024

FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema

Junru Lu, Siyu An, Min Zhang +3

When the quality of naive prompts is carefully optimized by human experts, the task performance of large language models (LLMs) can be significantly improved. However, expert-based…

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