PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead

Kavli Affiliate: Feng Wang | First 5 Authors: Tao Tan, Yining Qian, Ang Lv, Hongzhan Lin, Songhao Wu | Summary: Large language models (LLMs) enhanced with retrieval-augmented generation (RAG) have introduced a new paradigm for web search. However, the limited context awareness of LLMs degrades their performance on RAG tasks. Existing methods to enhance context […]


Continue.. PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead

PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead

Kavli Affiliate: Feng Wang | First 5 Authors: Tao Tan, Yining Qian, Ang Lv, Hongzhan Lin, Songhao Wu | Summary: Large language models (LLMs) enhanced with retrieval-augmented generation (RAG) have introduced a new paradigm for web search. However, the limited context awareness of LLMs degrades their performance on RAG tasks. Existing methods to enhance context […]


Continue.. PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead

Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wenqian Li, Wei Gao, Yan Pang, | Summary: Detecting multimodal misinformation, especially in the form of image-text pairs, is crucial. Obtaining large-scale, high-quality real-world fact-checking datasets for training detectors is costly, leading researchers to use synthetic datasets generated by AI technologies. However, the generalizability of […]


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Fracture Characterization of Bioinspired Irregular Network Reinforced Composites

Kavli Affiliate: Chiara Daraio | First 5 Authors: Chelsea Fox, Tommaso Magrini, Chiara Daraio, , | Summary: The mechanical behavior of composite materials is significantly influenced by their structure and constituent materials. One emerging class of composite materials is irregular network reinforced composites (NRC’s), whose reinforcing phase is generated by a stochastic algorithm. Although design […]


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Direct measurement of terahertz conductivity in a gated monolayer semiconductor

Kavli Affiliate: Feng Wang | First 5 Authors: Su-Di Chen, Qixin Feng, Wenyu Zhao, Ruishi Qi, Zuocheng Zhang | Summary: Two-dimensional semiconductors and their moir’e superlattices have emerged as important platforms for investigating correlated electrons. However, many key properties of these systems, such as the frequency-dependent conductivity, remain experimentally inaccessible because of the mesoscopic sample […]


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Preserving phase coherence and linearity in cat qubits with exponential bit-flip suppression

Kavli Affiliate: Oskar Painter | First 5 Authors: Harald Putterman, Kyungjoo Noh, Rishi N. Patel, Gregory A. Peairs, Gregory S. MacCabe | Summary: Cat qubits, a type of bosonic qubit encoded in a harmonic oscillator, can exhibit an exponential noise bias against bit-flip errors with increasing mean photon number. Here, we focus on cat qubits […]


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The multi-state geometry of shift current and polarization

Kavli Affiliate: Joel E. Moore | First 5 Authors: Alexander Avdoshkin, Johannes Mitscherling, Joel E. Moore, , | Summary: The quantum metric and Berry curvature capture essential properties of non-trivial Bloch states and underpin many fascinating phenomena. However, it becomes increasingly evident that a more comprehensive understanding of quantum state geometry is necessary to explain […]


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Theoretical insights into the role of lattice fluctuations on the excited behavior of lead halide perovskites

Kavli Affiliate: David T. Limmer | First 5 Authors: Yoonjae Park, Rohit Rana, Daniel Chabeda, Eran Rabani, David T. Limmer | Summary: Unravelling the role of charge-lattice interactions on the optoelectronic properties in lead halide perovskites is of great interest due to their unique photophysical properties. While there is broad consensus on the importance of […]


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Decoding the hidden dynamics of super-Arrhenius hydrogen diffusion in multi-principal element alloys via machine learning

Kavli Affiliate: Wei Gao | First 5 Authors: Fei Shuang, Yucheng Ji, Zixiong Wei, Chaofang Dong, Wei Gao | Summary: Understanding atomic hydrogen (H) diffusion in multi-principal element alloys (MPEAs) is essential for advancing clean energy technologies such as H transport, storage, and nuclear fusion applications. However, the vast compositional space and the intricate chemical […]


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Predicting User Stances from Target-Agnostic Information using Large Language Models

Kavli Affiliate: Wei Gao | First 5 Authors: Siyuan Brandon Loh, Liang Ze Wong, Prasanta Bhattacharya, Joseph Simons, Wei Gao | Summary: We investigate Large Language Models’ (LLMs) ability to predict a user’s stance on a target given a collection of his/her target-agnostic social media posts (i.e., user-level stance prediction). While we show early evidence […]


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