FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

Kavli Affiliate: Ke Wang | First 5 Authors: Chuhao Liu, Ke Wang, Jieqi Shi, Zhijian Qiao, Shaojie Shen | Summary: Semantic mapping based on the supervised object detectors is sensitive to image distribution. In real-world environments, the object detection and segmentation performance can lead to a major drop, preventing the use of semantic mapping in […]


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Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques

Kavli Affiliate: Zhuo Li | First 5 Authors: Qiheng Mao, Zemin Liu, Chenghao Liu, Zhuo Li, Jianling Sun | Summary: The integration of Large Language Models (LLMs) with Graph Representation Learning (GRL) marks a significant evolution in analyzing complex data structures. This collaboration harnesses the sophisticated linguistic capabilities of LLMs to improve the contextual understanding […]


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The dynamics and gravitational-wave signal of a binary flying closely by a Kerr supermassive black hole

Kavli Affiliate: Xian Chen | First 5 Authors: Zhongfu Zhang, Xian Chen, , , | Summary: Recent astrophysical models predict that stellar-mass binary black holes (BBHs) could form and coalesce within a few gravitational radii of a supermassive black hole (SMBH). Detecting the gravitational waves (GWs) from such systems requires numerical tools which can track […]


Continue.. The dynamics and gravitational-wave signal of a binary flying closely by a Kerr supermassive black hole

Enhanced quantum state transfer: Circumventing quantum chaotic behavior

Kavli Affiliate: Ke Wang | First 5 Authors: Liang Xiang, Jiachen Chen, Zitian Zhu, Zixuan Song, Zehang Bao | Summary: The ability to realize high-fidelity quantum communication is one of the many facets required to build generic quantum computing devices. In addition to quantum processing, sensing, and storage, transferring the resulting quantum states demands a […]


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A Survey on Hallucination in Large Vision-Language Models

Kavli Affiliate: Ke Wang | First 5 Authors: Hanchao Liu, Wenyuan Xue, Yifei Chen, Dapeng Chen, Xiutian Zhao | Summary: Recent development of Large Vision-Language Models (LVLMs) has attracted growing attention within the AI landscape for its practical implementation potential. However, “hallucination”, or more specifically, the misalignment between factual visual content and corresponding textual generation, […]


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A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE): Impact of Galaxies on the CGM Metal Enrichment at z > 6 Using the JWST and VLT

Kavli Affiliate: Linhua Jiang | First 5 Authors: Siwei Zou, Zheng Cai, Feige Wang, Xiaohui Fan, Jaclyn B. Champagne | Summary: We characterize the multiphase circumgalactic medium and galaxy properties at z = 6.0-6.5 in four quasar fields from the James Webb Space Telescope A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE) […]


Continue.. A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE): Impact of Galaxies on the CGM Metal Enrichment at z > 6 Using the JWST and VLT

A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE): Impact of Galaxies on the CGM Metal Enrichment at z > 6 Using the JWST and VLT

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Siwei Zou, Zheng Cai, Feige Wang, Xiaohui Fan, Jaclyn B. Champagne | Summary: We characterize the multiphase circumgalactic medium and galaxy properties at z = 6.0-6.5 in four quasar fields from the James Webb Space Telescope A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE) […]


Continue.. A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE): Impact of Galaxies on the CGM Metal Enrichment at z > 6 Using the JWST and VLT

SWEA: Changing Factual Knowledge in Large Language Models via Subject Word Embedding Altering

Kavli Affiliate: Jing Wang | First 5 Authors: Xiaopeng Li, Shasha Li, Bin Ji, Shezheng Song, Xi Wang | Summary: Model editing has recently gained widespread attention. Current model editing methods primarily involve modifying model parameters or adding additional modules to the existing model. However, the former causes irreversible damage to LLMs, while the latter […]


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SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering

Kavli Affiliate: Jing Wang | First 5 Authors: Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji | Summary: The general capabilities of large language models (LLMs) make them the infrastructure for various AI applications, but updating their inner knowledge requires significant resources. Recent model editing is a promising technique for efficiently updating a […]


Continue.. SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering

SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering

Kavli Affiliate: Jing Wang | First 5 Authors: Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji | Summary: The general capabilities of large language models (LLMs) make them the infrastructure for various AI applications, but updating their inner knowledge requires significant resources. Recent model editing is a promising technique for efficiently updating a […]


Continue.. SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering