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kishormorol
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summarize	Summarize this research paper in 2-3 sentences.	Title: An achromatic metafiber for focusing and imaging across the entire telecommunication range Venue: NatComms 2022 Abstract: Dispersion engineering is essential to the performance of most modern optical systems including fiber-optic devices. Even though the chromatic dispersion of a meter-scale single-mode fiber us...	Dispersion engineering is essential to the performance of most modern optical systems including fiber-optic devices. Even though the chromatic dispersion of a meter-scale single-mode fiber used for endoscopic applications is negligible, optical lenses located on the fiber end face for optical focusing and imaging suffe...	openalex:W4221139744	NatComms	2,022	journal
contribution	What is the key contribution of this paper?	Title: An achromatic metafiber for focusing and imaging across the entire telecommunication range Venue: NatComms 2022 Abstract: Dispersion engineering is essential to the performance of most modern optical systems including fiber-optic devices. Even though the chromatic dispersion of a meter-scale single-mode fiber us...	Here we present the design and nanoprinting of a 3D achromatic diffractive metalens on the end face of a single-mode fiber, capable of performing achromatic and polarization-insensitive focusing across the entire near-infrared telecommunication wavelength band ranging from 1.25 to 1.65 µm.	openalex:W4221139744	NatComms	2,022	journal
importance	Why does this paper matter to the research community?	Title: An achromatic metafiber for focusing and imaging across the entire telecommunication range Venue: NatComms 2022 Abstract: Dispersion engineering is essential to the performance of most modern optical systems including fiber-optic devices. Even though the chromatic dispersion of a meter-scale single-mode fiber us...	An achromatic metafiber for focusing and imaging across the entire telecommunication range represents a meaningful contribution to its field and opens new research directions.	openalex:W4221139744	NatComms	2,022	journal
plain	Explain this paper in plain English for a non-expert.	Title: An achromatic metafiber for focusing and imaging across the entire telecommunication range Venue: NatComms 2022 Abstract: Dispersion engineering is essential to the performance of most modern optical systems including fiber-optic devices. Even though the chromatic dispersion of a meter-scale single-mode fiber us...	In plain terms: Dispersion engineering is essential to the performance of most modern optical systems including fiber-optic devices. Even though the chromatic dispersion of a meter-scale single-mode fiber used for endoscopic applications is negligible, optical lenses located on the fiber end face for optical focusing a...	openalex:W4221139744	NatComms	2,022	journal
takeaway	Give a one-line takeaway from this paper.	Title: An achromatic metafiber for focusing and imaging across the entire telecommunication range Venue: NatComms 2022 Abstract: Dispersion engineering is essential to the performance of most modern optical systems including fiber-optic devices. Even though the chromatic dispersion of a meter-scale single-mode fiber us...	Here we present the design and nanoprinting of a 3D achromatic diffractive metalens on the end face of a single-mode…	openalex:W4221139744	NatComms	2,022	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Broadband angular spectrum differentiation using dielectric metasurfaces Venue: NatComms 2024 Abstract: Signal processing is of critical importance for various science and technology fields. Analog optical processing can provide an effective solution to perform large-scale and real-time data processing, superior...	Signal processing is of critical importance for various science and technology fields. Analog optical processing can provide an effective solution to perform large-scale and real-time data processing, superior to its digital counterparts, which have the disadvantages of low operation speed and large energy consumption.	openalex:W4392886376	NatComms	2,024	journal
contribution	What is the key contribution of this paper?	Title: Broadband angular spectrum differentiation using dielectric metasurfaces Venue: NatComms 2024 Abstract: Signal processing is of critical importance for various science and technology fields. Analog optical processing can provide an effective solution to perform large-scale and real-time data processing, superior...	Here, we demonstrate manipulation of the angular spectrum of an image, and in particular its differentiation, using dielectric metasurfaces operating across the whole visible spectrum.	openalex:W4392886376	NatComms	2,024	journal
importance	Why does this paper matter to the research community?	Title: Broadband angular spectrum differentiation using dielectric metasurfaces Venue: NatComms 2024 Abstract: Signal processing is of critical importance for various science and technology fields. Analog optical processing can provide an effective solution to perform large-scale and real-time data processing, superior...	Broadband angular spectrum differentiation using dielectric metasurfaces represents a meaningful contribution to its field and opens new research directions.	openalex:W4392886376	NatComms	2,024	journal
plain	Explain this paper in plain English for a non-expert.	Title: Broadband angular spectrum differentiation using dielectric metasurfaces Venue: NatComms 2024 Abstract: Signal processing is of critical importance for various science and technology fields. Analog optical processing can provide an effective solution to perform large-scale and real-time data processing, superior...	In plain terms: Signal processing is of critical importance for various science and technology fields. Analog optical processing can provide an effective solution to perform large-scale and real-time data processing, superior to its digital counterparts, which have the disadvantages of low operation speed and large ene...	openalex:W4392886376	NatComms	2,024	journal
takeaway	Give a one-line takeaway from this paper.	Title: Broadband angular spectrum differentiation using dielectric metasurfaces Venue: NatComms 2024 Abstract: Signal processing is of critical importance for various science and technology fields. Analog optical processing can provide an effective solution to perform large-scale and real-time data processing, superior...	Here, we demonstrate manipulation of the angular spectrum of an image, and in particular its differentiation, using…	openalex:W4392886376	NatComms	2,024	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Predicting rare drug-drug interaction events with dual-granular structure-adaptive and pair variational representation Venue: NatComms 2025 Abstract: Adverse drug-drug interaction events (DDIEs) pose serious risks to patient safety, yet rare but severe interactions remain challenging to identify due to limited c...	Adverse drug-drug interaction events (DDIEs) pose serious risks to patient safety, yet rare but severe interactions remain challenging to identify due to limited clinical data. Existing computational methods rely heavily on abundant samples, failing to identify rare DDIEs.	openalex:W4409947437	NatComms	2,025	journal
contribution	What is the key contribution of this paper?	Title: Predicting rare drug-drug interaction events with dual-granular structure-adaptive and pair variational representation Venue: NatComms 2025 Abstract: Adverse drug-drug interaction events (DDIEs) pose serious risks to patient safety, yet rare but severe interactions remain challenging to identify due to limited c...	Here we introduce RareDDIE, a metric-based meta-learning model that employs a dual-granular structure-driven pair variational representation to enhance rare DDIE prediction.	openalex:W4409947437	NatComms	2,025	journal
importance	Why does this paper matter to the research community?	Title: Predicting rare drug-drug interaction events with dual-granular structure-adaptive and pair variational representation Venue: NatComms 2025 Abstract: Adverse drug-drug interaction events (DDIEs) pose serious risks to patient safety, yet rare but severe interactions remain challenging to identify due to limited c...	Predicting rare drug-drug interaction events with dual-granular structure-adaptive and pair variational representation represents a meaningful contribution to its field and opens new research directions.	openalex:W4409947437	NatComms	2,025	journal
plain	Explain this paper in plain English for a non-expert.	Title: Predicting rare drug-drug interaction events with dual-granular structure-adaptive and pair variational representation Venue: NatComms 2025 Abstract: Adverse drug-drug interaction events (DDIEs) pose serious risks to patient safety, yet rare but severe interactions remain challenging to identify due to limited c...	In plain terms: Adverse drug-drug interaction events (DDIEs) pose serious risks to patient safety, yet rare but severe interactions remain challenging to identify due to limited clinical data. Existing computational methods rely heavily on abundant samples, failing to identify rare DDIEs. Here we introduce RareDDIE, a ...	openalex:W4409947437	NatComms	2,025	journal
takeaway	Give a one-line takeaway from this paper.	Title: Predicting rare drug-drug interaction events with dual-granular structure-adaptive and pair variational representation Venue: NatComms 2025 Abstract: Adverse drug-drug interaction events (DDIEs) pose serious risks to patient safety, yet rare but severe interactions remain challenging to identify due to limited c...	Here we introduce RareDDIE, a metric-based meta-learning model that employs a dual-granular structure-driven pair…	openalex:W4409947437	NatComms	2,025	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Free-standing bilayer metasurfaces in the visible Venue: NatComms 2025 Abstract: Multi-layered meta-optics have enabled complex wavefront shaping beyond their single layer counterpart owing to the additional design variables afforded by each plane. For instance, lossless complex amplitude modulation, generalized...	Multi-layered meta-optics have enabled complex wavefront shaping beyond their single layer counterpart owing to the additional design variables afforded by each plane. For instance, lossless complex amplitude modulation, generalized polarization transformations, and wide field of view are key attributes that fundamenta...	openalex:W4409059399	NatComms	2,025	journal
contribution	What is the key contribution of this paper?	Title: Free-standing bilayer metasurfaces in the visible Venue: NatComms 2025 Abstract: Multi-layered meta-optics have enabled complex wavefront shaping beyond their single layer counterpart owing to the additional design variables afforded by each plane. For instance, lossless complex amplitude modulation, generalized...	Here, we introduce bilayer metasurfaces made of free-standing meta-atoms working in the visible spectrum.	openalex:W4409059399	NatComms	2,025	journal
importance	Why does this paper matter to the research community?	Title: Free-standing bilayer metasurfaces in the visible Venue: NatComms 2025 Abstract: Multi-layered meta-optics have enabled complex wavefront shaping beyond their single layer counterpart owing to the additional design variables afforded by each plane. For instance, lossless complex amplitude modulation, generalized...	Free-standing bilayer metasurfaces in the visible represents a meaningful contribution to its field and opens new research directions.	openalex:W4409059399	NatComms	2,025	journal
plain	Explain this paper in plain English for a non-expert.	Title: Free-standing bilayer metasurfaces in the visible Venue: NatComms 2025 Abstract: Multi-layered meta-optics have enabled complex wavefront shaping beyond their single layer counterpart owing to the additional design variables afforded by each plane. For instance, lossless complex amplitude modulation, generalized...	In plain terms: Multi-layered meta-optics have enabled complex wavefront shaping beyond their single layer counterpart owing to the additional design variables afforded by each plane. For instance, lossless complex amplitude modulation, generalized polarization transformations, and wide field of view are key attributes...	openalex:W4409059399	NatComms	2,025	journal
takeaway	Give a one-line takeaway from this paper.	Title: Free-standing bilayer metasurfaces in the visible Venue: NatComms 2025 Abstract: Multi-layered meta-optics have enabled complex wavefront shaping beyond their single layer counterpart owing to the additional design variables afforded by each plane. For instance, lossless complex amplitude modulation, generalized...	Here, we introduce bilayer metasurfaces made of free-standing meta-atoms working in the visible spectrum.	openalex:W4409059399	NatComms	2,025	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Emergent disorder and mechanical memory in periodic metamaterials Venue: NatComms 2024 Abstract: Ordered mechanical systems typically have one or only a few stable rest configurations, and hence are not considered useful for encoding memory. Multistable and history-dependent responses usually emerge from quenche...	Ordered mechanical systems typically have one or only a few stable rest configurations, and hence are not considered useful for encoding memory. Multistable and history-dependent responses usually emerge from quenched disorder, for example in amorphous solids or crumpled sheets.	openalex:W4398170536	NatComms	2,024	journal
contribution	What is the key contribution of this paper?	Title: Emergent disorder and mechanical memory in periodic metamaterials Venue: NatComms 2024 Abstract: Ordered mechanical systems typically have one or only a few stable rest configurations, and hence are not considered useful for encoding memory. Multistable and history-dependent responses usually emerge from quenche...	Inspired by the topological structure of frustrated artificial spin ices, we introduce an approach to design ordered, periodic mechanical metamaterials that exhibit an extensive set of spatially disordered states.	openalex:W4398170536	NatComms	2,024	journal
importance	Why does this paper matter to the research community?	Title: Emergent disorder and mechanical memory in periodic metamaterials Venue: NatComms 2024 Abstract: Ordered mechanical systems typically have one or only a few stable rest configurations, and hence are not considered useful for encoding memory. Multistable and history-dependent responses usually emerge from quenche...	Emergent disorder and mechanical memory in periodic metamaterials represents a meaningful contribution to its field and opens new research directions.	openalex:W4398170536	NatComms	2,024	journal
plain	Explain this paper in plain English for a non-expert.	Title: Emergent disorder and mechanical memory in periodic metamaterials Venue: NatComms 2024 Abstract: Ordered mechanical systems typically have one or only a few stable rest configurations, and hence are not considered useful for encoding memory. Multistable and history-dependent responses usually emerge from quenche...	In plain terms: Ordered mechanical systems typically have one or only a few stable rest configurations, and hence are not considered useful for encoding memory. Multistable and history-dependent responses usually emerge from quenched disorder, for example in amorphous solids or crumpled sheets. In contrast, due to geom...	openalex:W4398170536	NatComms	2,024	journal
takeaway	Give a one-line takeaway from this paper.	Title: Emergent disorder and mechanical memory in periodic metamaterials Venue: NatComms 2024 Abstract: Ordered mechanical systems typically have one or only a few stable rest configurations, and hence are not considered useful for encoding memory. Multistable and history-dependent responses usually emerge from quenche...	Inspired by the topological structure of frustrated artificial spin ices, we introduce an approach to design ordered,…	openalex:W4398170536	NatComms	2,024	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Rapid learning with phase-change memory-based in-memory computing through learning-to-learn Venue: NatComms 2025 Abstract: There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment ...	There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment site. However, current AI models struggle in such scenarios, often requiring extensive fine-tuning, computational resources, and d...	openalex:W4407065729	NatComms	2,025	journal
contribution	What is the key contribution of this paper?	Title: Rapid learning with phase-change memory-based in-memory computing through learning-to-learn Venue: NatComms 2025 Abstract: There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment ...	We demonstrate the versatility of our approach in two scenarios: a convolutional neural network performing image classification and a biologically-inspired spiking neural network generating motor commands for a real robotic arm.	openalex:W4407065729	NatComms	2,025	journal
importance	Why does this paper matter to the research community?	Title: Rapid learning with phase-change memory-based in-memory computing through learning-to-learn Venue: NatComms 2025 Abstract: There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment ...	Rapid learning with phase-change memory-based in-memory computing through learning-to-learn represents a meaningful contribution to its field and opens new research directions.	openalex:W4407065729	NatComms	2,025	journal
plain	Explain this paper in plain English for a non-expert.	Title: Rapid learning with phase-change memory-based in-memory computing through learning-to-learn Venue: NatComms 2025 Abstract: There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment ...	In plain terms: There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment site. However, current AI models struggle in such scenarios, often requiring extensive fine-tuning, computational ...	openalex:W4407065729	NatComms	2,025	journal
takeaway	Give a one-line takeaway from this paper.	Title: Rapid learning with phase-change memory-based in-memory computing through learning-to-learn Venue: NatComms 2025 Abstract: There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment ...	We demonstrate the versatility of our approach in two scenarios: a convolutional neural network performing image…	openalex:W4407065729	NatComms	2,025	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation Venue: TPAMI 2024 Abstract: Learning based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors are typically required. In...	Learning based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors are typically required. In this paper, we propose a meta-learning and Markov Chain Monte Carlo (MCMC) based SISR approach to learn kernel prio...	openalex:W4397000461	TPAMI	2,024	journal
contribution	What is the key contribution of this paper?	Title: Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation Venue: TPAMI 2024 Abstract: Learning based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors are typically required. In...	In this paper, we propose a meta-learning and Markov Chain Monte Carlo (MCMC) based SISR approach to learn kernel priors from organized randomness.	openalex:W4397000461	TPAMI	2,024	journal
importance	Why does this paper matter to the research community?	Title: Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation Venue: TPAMI 2024 Abstract: Learning based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors are typically required. In...	Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation represents a meaningful contribution to its field and opens new research directions.	openalex:W4397000461	TPAMI	2,024	journal
plain	Explain this paper in plain English for a non-expert.	Title: Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation Venue: TPAMI 2024 Abstract: Learning based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors are typically required. In...	In plain terms: Learning based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors are typically required. In this paper, we propose a meta-learning and Markov Chain Monte Carlo (MCMC) based SISR approach to l...	openalex:W4397000461	TPAMI	2,024	journal
takeaway	Give a one-line takeaway from this paper.	Title: Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation Venue: TPAMI 2024 Abstract: Learning based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors are typically required. In...	In this paper, we propose a meta-learning and Markov Chain Monte Carlo (MCMC) based SISR approach to learn kernel…	openalex:W4397000461	TPAMI	2,024	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Achromatic metalenses for full visible spectrum with extended group delay control via dispersion-matched layers Venue: NatComms 2024 Abstract: Achieving achromaticity across the visible light spectrum is crucial for metalenses in imaging systems. Single-layer metalenses struggle with weak focusing power or small...	Achieving achromaticity across the visible light spectrum is crucial for metalenses in imaging systems. Single-layer metalenses struggle with weak focusing power or small aperture sizes due to inadequate group delay control.	openalex:W4404144000	NatComms	2,024	journal
contribution	What is the key contribution of this paper?	Title: Achromatic metalenses for full visible spectrum with extended group delay control via dispersion-matched layers Venue: NatComms 2024 Abstract: Achieving achromaticity across the visible light spectrum is crucial for metalenses in imaging systems. Single-layer metalenses struggle with weak focusing power or small...	Here, we demonstrate a strategy using meta-atoms with material layers engineered for matching dispersion, allowing large and fine adjustments of group delay.	openalex:W4404144000	NatComms	2,024	journal
importance	Why does this paper matter to the research community?	Title: Achromatic metalenses for full visible spectrum with extended group delay control via dispersion-matched layers Venue: NatComms 2024 Abstract: Achieving achromaticity across the visible light spectrum is crucial for metalenses in imaging systems. Single-layer metalenses struggle with weak focusing power or small...	Achromatic metalenses for full visible spectrum with extended group delay control via dispersion-matched layers represents a meaningful contribution to its field and opens new research directions.	openalex:W4404144000	NatComms	2,024	journal
plain	Explain this paper in plain English for a non-expert.	Title: Achromatic metalenses for full visible spectrum with extended group delay control via dispersion-matched layers Venue: NatComms 2024 Abstract: Achieving achromaticity across the visible light spectrum is crucial for metalenses in imaging systems. Single-layer metalenses struggle with weak focusing power or small...	In plain terms: Achieving achromaticity across the visible light spectrum is crucial for metalenses in imaging systems. Single-layer metalenses struggle with weak focusing power or small aperture sizes due to inadequate group delay control. Multilayer metalenses offer some improvement but come with increased design and...	openalex:W4404144000	NatComms	2,024	journal
takeaway	Give a one-line takeaway from this paper.	Title: Achromatic metalenses for full visible spectrum with extended group delay control via dispersion-matched layers Venue: NatComms 2024 Abstract: Achieving achromaticity across the visible light spectrum is crucial for metalenses in imaging systems. Single-layer metalenses struggle with weak focusing power or small...	Here, we demonstrate a strategy using meta-atoms with material layers engineered for matching dispersion, allowing…	openalex:W4404144000	NatComms	2,024	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning Venue: NatComms 2024 Abstract: Accurately modeling the protein fitness landscapes holds great importance for protein engineering. Pre-trained protein language models have achieved state-of-the-art performance in p...	Accurately modeling the protein fitness landscapes holds great importance for protein engineering. Pre-trained protein language models have achieved state-of-the-art performance in predicting protein fitness without wet-lab experimental data, but their accuracy and interpretability remain limited.	openalex:W4400227417	NatComms	2,024	journal
contribution	What is the key contribution of this paper?	Title: Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning Venue: NatComms 2024 Abstract: Accurately modeling the protein fitness landscapes holds great importance for protein engineering. Pre-trained protein language models have achieved state-of-the-art performance in p...	In this work, we introduce FSFP, a training strategy that can effectively optimize protein language models under extreme data scarcity for fitness prediction.	openalex:W4400227417	NatComms	2,024	journal
importance	Why does this paper matter to the research community?	Title: Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning Venue: NatComms 2024 Abstract: Accurately modeling the protein fitness landscapes holds great importance for protein engineering. Pre-trained protein language models have achieved state-of-the-art performance in p...	Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning represents a meaningful contribution to its field and opens new research directions.	openalex:W4400227417	NatComms	2,024	journal
plain	Explain this paper in plain English for a non-expert.	Title: Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning Venue: NatComms 2024 Abstract: Accurately modeling the protein fitness landscapes holds great importance for protein engineering. Pre-trained protein language models have achieved state-of-the-art performance in p...	In plain terms: Accurately modeling the protein fitness landscapes holds great importance for protein engineering. Pre-trained protein language models have achieved state-of-the-art performance in predicting protein fitness without wet-lab experimental data, but their accuracy and interpretability remain limited. On th...	openalex:W4400227417	NatComms	2,024	journal
takeaway	Give a one-line takeaway from this paper.	Title: Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning Venue: NatComms 2024 Abstract: Accurately modeling the protein fitness landscapes holds great importance for protein engineering. Pre-trained protein language models have achieved state-of-the-art performance in p...	In this work, we introduce FSFP, a training strategy that can effectively optimize protein language models under…	openalex:W4400227417	NatComms	2,024	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention Venue: IJCV 2024 Abstract: Abstract Diffusion models excel at text-to-image generation, especially in subject-driven generation for personalized images. However, existing methods are inefficient due to the subject-specific fine-tun...	Abstract Diffusion models excel at text-to-image generation, especially in subject-driven generation for personalized images. However, existing methods are inefficient due to the subject-specific fine-tuning, which is computationally intensive and hampers efficient deployment.	openalex:W4402782221	IJCV	2,024	journal
contribution	What is the key contribution of this paper?	Title: FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention Venue: IJCV 2024 Abstract: Abstract Diffusion models excel at text-to-image generation, especially in subject-driven generation for personalized images. However, existing methods are inefficient due to the subject-specific fine-tun...	We present FastComposer which enables efficient, personalized, multi-subject text-to-image generation without fine-tuning.	openalex:W4402782221	IJCV	2,024	journal
importance	Why does this paper matter to the research community?	Title: FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention Venue: IJCV 2024 Abstract: Abstract Diffusion models excel at text-to-image generation, especially in subject-driven generation for personalized images. However, existing methods are inefficient due to the subject-specific fine-tun...	FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention represents a meaningful contribution to its field and opens new research directions.	openalex:W4402782221	IJCV	2,024	journal
plain	Explain this paper in plain English for a non-expert.	Title: FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention Venue: IJCV 2024 Abstract: Abstract Diffusion models excel at text-to-image generation, especially in subject-driven generation for personalized images. However, existing methods are inefficient due to the subject-specific fine-tun...	In plain terms: Abstract Diffusion models excel at text-to-image generation, especially in subject-driven generation for personalized images. However, existing methods are inefficient due to the subject-specific fine-tuning, which is computationally intensive and hampers efficient deployment. Moreover, existing methods...	openalex:W4402782221	IJCV	2,024	journal
takeaway	Give a one-line takeaway from this paper.	Title: FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention Venue: IJCV 2024 Abstract: Abstract Diffusion models excel at text-to-image generation, especially in subject-driven generation for personalized images. However, existing methods are inefficient due to the subject-specific fine-tun...	We present FastComposer which enables efficient, personalized, multi-subject text-to-image generation without…	openalex:W4402782221	IJCV	2,024	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: A 0.18 cubic centimeter 3D meta-holographic zoom micro-projector Venue: NatComms 2025 Abstract: Meta-holography has become a frontier hot spot of photonics, thanks to the rapid advancement of nanofabrication. Tunable meta-holography significantly enhances information capacity and meets the growing demands of ada...	Meta-holography has become a frontier hot spot of photonics, thanks to the rapid advancement of nanofabrication. Tunable meta-holography significantly enhances information capacity and meets the growing demands of adaptive imaging, offering tremendous application prospects in fields such as optical storage, augmented a...	openalex:W4416794525	NatComms	2,025	journal
contribution	What is the key contribution of this paper?	Title: A 0.18 cubic centimeter 3D meta-holographic zoom micro-projector Venue: NatComms 2025 Abstract: Meta-holography has become a frontier hot spot of photonics, thanks to the rapid advancement of nanofabrication. Tunable meta-holography significantly enhances information capacity and meets the growing demands of ada...	Here, we propose a 3D meta-holographic zoom micro-projector by integrating a high-resolution metasurface with a tailored liquid lens, and the size of the demonstrated micro-projector is only 0.18 cm3.	openalex:W4416794525	NatComms	2,025	journal
importance	Why does this paper matter to the research community?	Title: A 0.18 cubic centimeter 3D meta-holographic zoom micro-projector Venue: NatComms 2025 Abstract: Meta-holography has become a frontier hot spot of photonics, thanks to the rapid advancement of nanofabrication. Tunable meta-holography significantly enhances information capacity and meets the growing demands of ada...	A 0.18 cubic centimeter 3D meta-holographic zoom micro-projector represents a meaningful contribution to its field and opens new research directions.	openalex:W4416794525	NatComms	2,025	journal
plain	Explain this paper in plain English for a non-expert.	Title: A 0.18 cubic centimeter 3D meta-holographic zoom micro-projector Venue: NatComms 2025 Abstract: Meta-holography has become a frontier hot spot of photonics, thanks to the rapid advancement of nanofabrication. Tunable meta-holography significantly enhances information capacity and meets the growing demands of ada...	In plain terms: Meta-holography has become a frontier hot spot of photonics, thanks to the rapid advancement of nanofabrication. Tunable meta-holography significantly enhances information capacity and meets the growing demands of adaptive imaging, offering tremendous application prospects in fields such as optical stor...	openalex:W4416794525	NatComms	2,025	journal
takeaway	Give a one-line takeaway from this paper.	Title: A 0.18 cubic centimeter 3D meta-holographic zoom micro-projector Venue: NatComms 2025 Abstract: Meta-holography has become a frontier hot spot of photonics, thanks to the rapid advancement of nanofabrication. Tunable meta-holography significantly enhances information capacity and meets the growing demands of ada...	Here, we propose a 3D meta-holographic zoom micro-projector by integrating a high-resolution metasurface with a…	openalex:W4416794525	NatComms	2,025	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Cross-Image Pixel Contrasting for Semantic Segmentation Venue: TPAMI 2024 Abstract: This work studies the problem of image semantic segmentation. Current approaches focus mainly on mining "local" context, i.e., dependencies between pixels within individual images, by specifically-designed, context aggregation mo...	This work studies the problem of image semantic segmentation. Current approaches focus mainly on mining "local" context, i.e., dependencies between pixels within individual images, by specifically-designed, context aggregation modules (e.g., dilated convolution, neural attention) or structure-aware optimization objecti...	openalex:W4392024636	TPAMI	2,024	journal
contribution	What is the key contribution of this paper?	Title: Cross-Image Pixel Contrasting for Semantic Segmentation Venue: TPAMI 2024 Abstract: This work studies the problem of image semantic segmentation. Current approaches focus mainly on mining "local" context, i.e., dependencies between pixels within individual images, by specifically-designed, context aggregation mo...	Inspired by recent advance in unsupervised contrastive representation learning, we propose a pixel-wise contrastive algorithm, dubbed as PiCo, for semantic segmentation in the fully supervised learning setting.	openalex:W4392024636	TPAMI	2,024	journal
importance	Why does this paper matter to the research community?	Title: Cross-Image Pixel Contrasting for Semantic Segmentation Venue: TPAMI 2024 Abstract: This work studies the problem of image semantic segmentation. Current approaches focus mainly on mining "local" context, i.e., dependencies between pixels within individual images, by specifically-designed, context aggregation mo...	Cross-Image Pixel Contrasting for Semantic Segmentation represents a meaningful contribution to its field and opens new research directions.	openalex:W4392024636	TPAMI	2,024	journal
plain	Explain this paper in plain English for a non-expert.	Title: Cross-Image Pixel Contrasting for Semantic Segmentation Venue: TPAMI 2024 Abstract: This work studies the problem of image semantic segmentation. Current approaches focus mainly on mining "local" context, i.e., dependencies between pixels within individual images, by specifically-designed, context aggregation mo...	In plain terms: This work studies the problem of image semantic segmentation. Current approaches focus mainly on mining "local" context, i.e., dependencies between pixels within individual images, by specifically-designed, context aggregation modules (e.g., dilated convolution, neural attention) or structure-aware opti...	openalex:W4392024636	TPAMI	2,024	journal
takeaway	Give a one-line takeaway from this paper.	Title: Cross-Image Pixel Contrasting for Semantic Segmentation Venue: TPAMI 2024 Abstract: This work studies the problem of image semantic segmentation. Current approaches focus mainly on mining "local" context, i.e., dependencies between pixels within individual images, by specifically-designed, context aggregation mo...	Inspired by recent advance in unsupervised contrastive representation learning, we propose a pixel-wise contrastive…	openalex:W4392024636	TPAMI	2,024	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Safe multi-agent reinforcement learning for multi-robot control Venue: AIJ 2023 Abstract: A challenging problem in robotics is how to control multiple robots cooperatively and safely in real-world applications. Yet, developing multi-robot control methods from the perspective of safe multi-agent reinforcement lea...	A challenging problem in robotics is how to control multiple robots cooperatively and safely in real-world applications. Yet, developing multi-robot control methods from the perspective of safe multi-agent reinforcement learning (MARL) has merely been studied.	openalex:W4327571609	AIJ	2,023	journal
contribution	What is the key contribution of this paper?	Title: Safe multi-agent reinforcement learning for multi-robot control Venue: AIJ 2023 Abstract: A challenging problem in robotics is how to control multiple robots cooperatively and safely in real-world applications. Yet, developing multi-robot control methods from the perspective of safe multi-agent reinforcement lea...	Secondly, as approximations to the theoretical solution, we propose two safe multi-agent policy gradient methods: Multi-Agent Constrained Policy Optimisation (MACPO) and MAPPO-Lagrangian .	openalex:W4327571609	AIJ	2,023	journal
importance	Why does this paper matter to the research community?	Title: Safe multi-agent reinforcement learning for multi-robot control Venue: AIJ 2023 Abstract: A challenging problem in robotics is how to control multiple robots cooperatively and safely in real-world applications. Yet, developing multi-robot control methods from the perspective of safe multi-agent reinforcement lea...	Safe multi-agent reinforcement learning for multi-robot control represents a meaningful contribution to its field and opens new research directions.	openalex:W4327571609	AIJ	2,023	journal
plain	Explain this paper in plain English for a non-expert.	Title: Safe multi-agent reinforcement learning for multi-robot control Venue: AIJ 2023 Abstract: A challenging problem in robotics is how to control multiple robots cooperatively and safely in real-world applications. Yet, developing multi-robot control methods from the perspective of safe multi-agent reinforcement lea...	In plain terms: A challenging problem in robotics is how to control multiple robots cooperatively and safely in real-world applications. Yet, developing multi-robot control methods from the perspective of safe multi-agent reinforcement learning (MARL) has merely been studied. To fill this gap, in this study, we investi...	openalex:W4327571609	AIJ	2,023	journal
takeaway	Give a one-line takeaway from this paper.	Title: Safe multi-agent reinforcement learning for multi-robot control Venue: AIJ 2023 Abstract: A challenging problem in robotics is how to control multiple robots cooperatively and safely in real-world applications. Yet, developing multi-robot control methods from the perspective of safe multi-agent reinforcement lea...	Secondly, as approximations to the theoretical solution, we propose two safe multi-agent policy gradient methods:…	openalex:W4327571609	AIJ	2,023	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation Venue: TOIS 2022 Abstract: Incorporating knowledge graphs (KGs) into recommender systems to provide explainable recommendation has attracted much attention recently. The multi-hop paths in KGs can provide auxiliary fa...	Incorporating knowledge graphs (KGs) into recommender systems to provide explainable recommendation has attracted much attention recently. The multi-hop paths in KGs can provide auxiliary facts for improving recommendation performance as well as explainability.	openalex:W4220770035	TOIS	2,022	journal
contribution	What is the key contribution of this paper?	Title: KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation Venue: TOIS 2022 Abstract: Incorporating knowledge graphs (KGs) into recommender systems to provide explainable recommendation has attracted much attention recently. The multi-hop paths in KGs can provide auxiliary fa...	Some recent methods based on graph convolution network (GCN) achieve better recommendation performance, but fail to provide explainability.	openalex:W4220770035	TOIS	2,022	journal
importance	Why does this paper matter to the research community?	Title: KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation Venue: TOIS 2022 Abstract: Incorporating knowledge graphs (KGs) into recommender systems to provide explainable recommendation has attracted much attention recently. The multi-hop paths in KGs can provide auxiliary fa...	KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation represents a meaningful contribution to its field and opens new research directions.	openalex:W4220770035	TOIS	2,022	journal
plain	Explain this paper in plain English for a non-expert.	Title: KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation Venue: TOIS 2022 Abstract: Incorporating knowledge graphs (KGs) into recommender systems to provide explainable recommendation has attracted much attention recently. The multi-hop paths in KGs can provide auxiliary fa...	In plain terms: Incorporating knowledge graphs (KGs) into recommender systems to provide explainable recommendation has attracted much attention recently. The multi-hop paths in KGs can provide auxiliary facts for improving recommendation performance as well as explainability. However, existing studies may suffer from ...	openalex:W4220770035	TOIS	2,022	journal
takeaway	Give a one-line takeaway from this paper.	Title: KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation Venue: TOIS 2022 Abstract: Incorporating knowledge graphs (KGs) into recommender systems to provide explainable recommendation has attracted much attention recently. The multi-hop paths in KGs can provide auxiliary fa...	Some recent methods based on graph convolution network (GCN) achieve better recommendation performance, but fail to…	openalex:W4220770035	TOIS	2,022	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Inverse design enables large-scale high-performance meta-optics reshaping virtual reality Venue: NatComms 2022 Abstract: Abstract Meta-optics has achieved major breakthroughs in the past decade; however, conventional forward design faces challenges as functionality complexity and device size scale up. Inverse de...	Abstract Meta-optics has achieved major breakthroughs in the past decade; however, conventional forward design faces challenges as functionality complexity and device size scale up. Inverse design aims at optimizing meta-optics design but has been currently limited by expensive brute-force numerical solvers to small de...	openalex:W3152573847	NatComms	2,022	journal
contribution	What is the key contribution of this paper?	Title: Inverse design enables large-scale high-performance meta-optics reshaping virtual reality Venue: NatComms 2022 Abstract: Abstract Meta-optics has achieved major breakthroughs in the past decade; however, conventional forward design faces challenges as functionality complexity and device size scale up. Inverse de...	Here, we present a general inverse-design framework for aperiodic large-scale (20k × 20k λ 2 ) complex meta-optics in three dimensions, which alleviates computational cost for both simulation and optimization via a fast approximate solver and an adjoint method, respectively.	openalex:W3152573847	NatComms	2,022	journal
importance	Why does this paper matter to the research community?	Title: Inverse design enables large-scale high-performance meta-optics reshaping virtual reality Venue: NatComms 2022 Abstract: Abstract Meta-optics has achieved major breakthroughs in the past decade; however, conventional forward design faces challenges as functionality complexity and device size scale up. Inverse de...	Inverse design enables large-scale high-performance meta-optics reshaping virtual reality represents a meaningful contribution to its field and opens new research directions.	openalex:W3152573847	NatComms	2,022	journal
plain	Explain this paper in plain English for a non-expert.	Title: Inverse design enables large-scale high-performance meta-optics reshaping virtual reality Venue: NatComms 2022 Abstract: Abstract Meta-optics has achieved major breakthroughs in the past decade; however, conventional forward design faces challenges as functionality complexity and device size scale up. Inverse de...	In plain terms: Abstract Meta-optics has achieved major breakthroughs in the past decade; however, conventional forward design faces challenges as functionality complexity and device size scale up. Inverse design aims at optimizing meta-optics design but has been currently limited by expensive brute-force numerical sol...	openalex:W3152573847	NatComms	2,022	journal
takeaway	Give a one-line takeaway from this paper.	Title: Inverse design enables large-scale high-performance meta-optics reshaping virtual reality Venue: NatComms 2022 Abstract: Abstract Meta-optics has achieved major breakthroughs in the past decade; however, conventional forward design faces challenges as functionality complexity and device size scale up. Inverse de...	Here, we present a general inverse-design framework for aperiodic large-scale (20k × 20k λ 2 ) complex meta-optics in…	openalex:W3152573847	NatComms	2,022	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Active Learning for Deep Visual Tracking Venue: TNNLS 2023 Abstract: Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous labeled training samples, and the number and quality of these samples...	Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous labeled training samples, and the number and quality of these samples directly affect the representational capability of the trained model.	openalex:W4376133601	TNNLS	2,023	journal
contribution	What is the key contribution of this paper?	Title: Active Learning for Deep Visual Tracking Venue: TNNLS 2023 Abstract: Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous labeled training samples, and the number and quality of these samples...	In this article, we propose an active learning method for deep visual tracking, which selects and annotates the unlabeled samples to train the deep CNN model.	openalex:W4376133601	TNNLS	2,023	journal
importance	Why does this paper matter to the research community?	Title: Active Learning for Deep Visual Tracking Venue: TNNLS 2023 Abstract: Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous labeled training samples, and the number and quality of these samples...	Active Learning for Deep Visual Tracking represents a meaningful contribution to its field and opens new research directions.	openalex:W4376133601	TNNLS	2,023	journal
plain	Explain this paper in plain English for a non-expert.	Title: Active Learning for Deep Visual Tracking Venue: TNNLS 2023 Abstract: Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous labeled training samples, and the number and quality of these samples...	In plain terms: Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous labeled training samples, and the number and quality of these samples directly affect the representational capability of the trai...	openalex:W4376133601	TNNLS	2,023	journal
takeaway	Give a one-line takeaway from this paper.	Title: Active Learning for Deep Visual Tracking Venue: TNNLS 2023 Abstract: Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous labeled training samples, and the number and quality of these samples...	In this article, we propose an active learning method for deep visual tracking, which selects and annotates the…	openalex:W4376133601	TNNLS	2,023	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasks Venue: NatComms 2024 Abstract: It is likely that individuals are turning to Large Language Models (LLMs) to seek health advice, much like searching for diagnoses on Google. We evaluate clinical accuracy of GPT-3·5 and G...	It is likely that individuals are turning to Large Language Models (LLMs) to seek health advice, much like searching for diagnoses on Google. We evaluate clinical accuracy of GPT-3·5 and GPT-4 for suggesting initial diagnosis, examination steps and treatment of 110 medical cases across diverse clinical disciplines.	openalex:W4392504747	NatComms	2,024	journal
contribution	What is the key contribution of this paper?	Title: Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasks Venue: NatComms 2024 Abstract: It is likely that individuals are turning to Large Language Models (LLMs) to seek health advice, much like searching for diagnoses on Google. We evaluate clinical accuracy of GPT-3·5 and G...	In conclusion, the commercial LLMs show growing potential for medical question answering in two successive major releases.	openalex:W4392504747	NatComms	2,024	journal
importance	Why does this paper matter to the research community?	Title: Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasks Venue: NatComms 2024 Abstract: It is likely that individuals are turning to Large Language Models (LLMs) to seek health advice, much like searching for diagnoses on Google. We evaluate clinical accuracy of GPT-3·5 and G...	Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasks represents a meaningful contribution to its field and opens new research directions.	openalex:W4392504747	NatComms	2,024	journal
plain	Explain this paper in plain English for a non-expert.	Title: Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasks Venue: NatComms 2024 Abstract: It is likely that individuals are turning to Large Language Models (LLMs) to seek health advice, much like searching for diagnoses on Google. We evaluate clinical accuracy of GPT-3·5 and G...	In plain terms: It is likely that individuals are turning to Large Language Models (LLMs) to seek health advice, much like searching for diagnoses on Google. We evaluate clinical accuracy of GPT-3·5 and GPT-4 for suggesting initial diagnosis, examination steps and treatment of 110 medical cases across diverse clinical ...	openalex:W4392504747	NatComms	2,024	journal
takeaway	Give a one-line takeaway from this paper.	Title: Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasks Venue: NatComms 2024 Abstract: It is likely that individuals are turning to Large Language Models (LLMs) to seek health advice, much like searching for diagnoses on Google. We evaluate clinical accuracy of GPT-3·5 and G...	In conclusion, the commercial LLMs show growing potential for medical question answering in two successive major…	openalex:W4392504747	NatComms	2,024	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks Venue: NatComms 2024 Abstract: Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more ...	Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more complex functions such as short-term memory, short-term plasticity, and meta-plasticity - all collocated within each synapse. Here, we demonstrate memr...	openalex:W4401547731	NatComms	2,024	journal
contribution	What is the key contribution of this paper?	Title: Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks Venue: NatComms 2024 Abstract: Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more ...	Here, we demonstrate memristive nano-devices based on SrTiO3 that inherently emulate all these synaptic functions.	openalex:W4401547731	NatComms	2,024	journal
importance	Why does this paper matter to the research community?	Title: Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks Venue: NatComms 2024 Abstract: Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more ...	Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks represents a meaningful contribution to its field and opens new research directions.	openalex:W4401547731	NatComms	2,024	journal
plain	Explain this paper in plain English for a non-expert.	Title: Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks Venue: NatComms 2024 Abstract: Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more ...	In plain terms: Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more complex functions such as short-term memory, short-term plasticity, and meta-plasticity - all collocated within each synapse. Here, we ...	openalex:W4401547731	NatComms	2,024	journal
takeaway	Give a one-line takeaway from this paper.	Title: Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks Venue: NatComms 2024 Abstract: Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more ...	Here, we demonstrate memristive nano-devices based on SrTiO3 that inherently emulate all these synaptic functions.	openalex:W4401547731	NatComms	2,024	journal
summarize	Summarize this research paper in 2-3 sentences.	Title: Metasurface enabled high-order differentiator Venue: NatComms 2025 Abstract: Metasurface-enabled optical analog differentiation has garnered significant attention due to its inherent capacity of parallel operation, compactness, and low power consumption. Most previous works focused on the first- and second-order...	Metasurface-enabled optical analog differentiation has garnered significant attention due to its inherent capacity of parallel operation, compactness, and low power consumption. Most previous works focused on the first- and second-order operations, while several significant works have also achieved higher-order differe...	openalex:W4408323415	NatComms	2,025	journal
contribution	What is the key contribution of this paper?	Title: Metasurface enabled high-order differentiator Venue: NatComms 2025 Abstract: Metasurface-enabled optical analog differentiation has garnered significant attention due to its inherent capacity of parallel operation, compactness, and low power consumption. Most previous works focused on the first- and second-order...	Here, drawing on the basic mathematical feature of the Fourier transform, we theoretically propose universal phase-gradient functions of the Pancharatnam-Berry-phase-based meta-device for performing arbitrary order differentiation.	openalex:W4408323415	NatComms	2,025	journal
importance	Why does this paper matter to the research community?	Title: Metasurface enabled high-order differentiator Venue: NatComms 2025 Abstract: Metasurface-enabled optical analog differentiation has garnered significant attention due to its inherent capacity of parallel operation, compactness, and low power consumption. Most previous works focused on the first- and second-order...	Metasurface enabled high-order differentiator represents a meaningful contribution to its field and opens new research directions.	openalex:W4408323415	NatComms	2,025	journal

End of preview. Expand in Data Studio

ResearchScope Papers

Open CS research paper dataset maintained by ResearchScope.

Updated automatically via GitHub Actions.

Quick start

from datasets import load_dataset

ds = load_dataset("kishormorol/researchscope-papers", "papers", split="train")
print(ds[0])

See Usage below for per-source splits, instruction-tuning, and the per-section fine-tuning data.

Stats

33,079 papers (raw metadata) — 8,079 arXiv · 20,000 conference · 5,000 journal
165,181 instruction-tuning rows
Sources: arXiv, OpenAlex, ACL Anthology, OpenReview, PMLR, CVF, Semantic Scholar
Venues: NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, IJCAI, JMLR, TMLR, TACL, TPAMI, NMI and more

Files

File	Description
`data/papers.jsonl`	Raw paper metadata — title, abstract, authors, venue, year, tags, scores (all sources combined)
`data/papers_arxiv.jsonl`	arXiv / preprint papers only
`data/papers_conference.jsonl`	Conference papers only (NeurIPS, ICML, ICLR, ACL, CVPR, …)
`data/papers_journal.jsonl`	Journal papers only (JMLR, TPAMI, NMI, TACL, …)
`data/instruct.jsonl`	Instruction-tuning pairs — summarize, key contribution, why it matters, plain English
`data/sections.jsonl`	Per-section fine-tuning rows for A* papers — real body text of `abstract`, `introduction`, `related_work`, `method`, `experiments`, `results`, `conclusion`. Filter by the `section` field to train a per-section writing agent.

Usage

from datasets import load_dataset

# All papers (combined)
papers = load_dataset("kishormorol/researchscope-papers", "papers", split="train")

# Just one source — arXiv, conference, or journal papers
arxiv      = load_dataset("kishormorol/researchscope-papers", "papers", split="arxiv")
conference = load_dataset("kishormorol/researchscope-papers", "papers", split="conference")
journal    = load_dataset("kishormorol/researchscope-papers", "papers", split="journal")

# Instruction tuning
instruct = load_dataset("kishormorol/researchscope-papers", "instruct", split="train")

# Per-section fine-tuning (A* papers) — e.g. train an Introduction-writing agent
sections = load_dataset("kishormorol/researchscope-papers", "sections", split="train")
intros = sections.filter(lambda r: r["section"] == "introduction")

License

Paper metadata is aggregated from open sources. Text content follows the original licenses of each source (arXiv CC0, ACL CC BY, etc.). Dataset schema: CC BY 4.0.

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