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D. Xiong

4 papers hereh-index 468 citations6 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • astro-ph.HE1
  • cs.AI1
same name
  • D. Xiong — 25 papers, h 16
  • D. Xiong — 22 papers, h 8
  • D. Xiong — 8 papers, h 9
  • D. Xiong — 5 papers, h 5
  • D. Xiong — 3 papers, h 5
  • D. Xiong — 3 papers, h 1

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 citedAn extreme particle accelerator powered by pulsar PSR J1849-0001

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

collaborators

4 papers

cs.AI2026

KnowRL: Boosting LLM Reasoning via Reinforcement Learning with Minimal-Sufficient Knowledge Guidance

Linhao Yu, Tianmeng Yang, Siyu Ding +8

RLVR improves reasoning in large language models, but its effectiveness is often limited by severe reward sparsity on hard problems. Recent hint-based RL methods mitigate sparsity…

astro-ph.HE2026★ 3 cited

An extreme particle accelerator powered by pulsar PSR J1849-0001

The LHAASO Collaboration

Pulsar wind nebulae (PWNe) are bubbles of relativistic particles, powered by the rotational energy loss of the central pulsars. The Crab Nebula, powered by the Milky Way's most ene…

cs.CL2024

CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models

Linhao Yu, Yongqi Leng, Yufei Huang +9

What a large language model (LLM) would respond in ethically relevant context? In this paper, we curate a large benchmark CMoralEval for morality evaluation of Chinese LLMs. The da…

cs.CL2024

Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons

Yongqi Leng, Deyi Xiong

While large language models (LLMs) have demonstrated superior multi-task capabilities, understanding the learning mechanisms behind this is still a challenging problem. In this pap…

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