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1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answering
This paper presents the system description of our entry for the COLING 2025 RegNLP RIRAG (Regulatory Information Retrieval and Answer Generation) challenge, focusing on leveraging advanced information retrieval and answer generation techniques in regulatory domains. We experimented with a combination of embedding model...
https://arxiv.org/abs/2412.06009v1
2412.06009
2024-12-08
natural-language-processing
1-800-SHARED-TASKS @ NLU of Devanagari Script Languages: Detection of Language, Hate Speech, and Targets using LLMs
This paper presents a detailed system description of our entry for the CHiPSAL 2025 shared task, focusing on language detection, hate speech identification, and target detection in Devanagari script languages. We experimented with a combination of large language models and their ensembles, including MuRIL, IndicBERT, a...
https://arxiv.org/abs/2411.06850v1
2411.06850
2024-11-11
natural-language-processing
180$^\circ$ Rotations in the Polarization Angle for Blazars
Rotations of the electric vector position angle (EVPA) in blazars are often close to an integral multiple of 180$^\circ$. There are multiple examples of this in the literature, and our analysis here, of the optical polarization data from the RoboPol monitoring program, strengthens the evidence by showing that $n\pi$ ro...
http://arxiv.org/abs/2003.07090v1
2003.07090
2020-03-16
natural-language-processing
180$^\circ$-twisted bilayer ReSe$_2$ as an artificial noncentrosymmetric semiconductor
We have fabricated a 180$^\circ$-twisted bilayer ReSe$_2$ by stacking two centrosymmetric monolayer ReSe$_2$ flakes in opposite directions, which is expected to lose spatial inversion symmetry. By the second harmonic generation and angle-resolved photoemission spectroscopy, we successfully observed spatial inversion sy...
https://arxiv.org/abs/2309.15403v1
2309.15403
2023-09-27
natural-language-processing
180 Days After EIP-4844: Will Blob Sharing Solve Dilemma for Small Rollups?
The introduction of blobs through EIP-4844 has significantly reduced the Data Availability (DA) costs for rollups on Ethereum. However, due to the fixed size of blobs at 128 KB, rollups with low data throughput face a dilemma: they either use blobs inefficiently or decrease the frequency of DA submissions. Blob sharing...
https://arxiv.org/abs/2410.04111v2
2410.04111
2024-10-05
natural-language-processing
180 degree Ferroelectric Stripe Nanodomains in BiFeO3 Thin Films
There is growing evidence that domain walls in ferroics can possess emergent properties that are absent in bulk materials. For example, 180 domain walls in the ferroelectric-antiferromagnetic BiFeO3 are particularly interesting because they have been predicted to possess a range of intriguing behaviors; including elect...
http://arxiv.org/abs/1508.07376v1
1508.07376
2015-08-28
natural-language-processing
180-degree Outpainting from a Single Image
Presenting context images to a viewer's peripheral vision is one of the most effective techniques to enhance immersive visual experiences. However, most images only present a narrow view, since the field-of-view (FoV) of standard cameras is small. To overcome this limitation, we propose a deep learning approach that le...
https://arxiv.org/abs/2001.04568v1
2001.04568
2020-01-13
natural-language-processing
180-degree phase shift of magnetoelastic waves observed by phase-resolved spin-wave tomography
We have investigated optically-excited magnetoelastic waves by phase-resolved spin-wave tomography (PSWaT). PSWaT reconstructs dispersion relation of spin waves together with their phase information by using time-resolved magneto-optical imaging for spin-wave propagation followed by an analysis based on the convolution...
http://arxiv.org/abs/1803.07697v1
1803.07697
2018-03-21
natural-language-processing
18-22 cm VLBA Faraday rotation studies of six AGN jets
The formation of relativistic jets in active galactic nuclei (AGN) is related to accretion on to their central supermassive black holes, and magnetic fields are believed to play a central role in launching, collimating and accelerating the jet streams from very compact regions out to kiloparsec or megaparsec scales. In...
http://arxiv.org/abs/1702.06659v1
1702.06659
2017-02-22
natural-language-processing
183 GHz water megamasers in active galactic nuclei: a new accretion disk tracer
We present the results of an ALMA survey to identify 183 GHz H$_2$O maser emission from AGN already known to host 22 GHz megamaser systems. Out of 20 sources observed, we detect significant 183 GHz maser emission from 13; this survey thus increases the number of AGN known to host (sub)millimeter megamasers by a factor ...
https://arxiv.org/abs/2302.02572v1
2302.02572
2023-02-06
natural-language-processing
185 mW, 1 MHz, 15 fs carrier-envelope phase-stable pulse generation via polarization-optimized down-conversion from gas-filled hollow-core fiber
Gas-filled hollow core fibers allow the generation of single-cycle pulses at megahertz repetition rates. When coupled with difference frequency generation, they can be an ideal driver for the generation of carrier-envelope phase stable, octave-spanning pulses in the short-wavelength infrared. In this work, we investiga...
https://arxiv.org/abs/2404.14153v1
2404.14153
2024-04-22
natural-language-processing
18.8 Gbps real-time quantum random number generator with a photonic integrated chip
Quantum random number generators (QRNGs) can produce true random numbers. Yet, the two most important QRNG parameters highly desired for practical applications, i.e., speed and size, have to be compromised during implementations. Here, we present the fastest and miniaturized QRNG with a record real-time output rate as ...
https://arxiv.org/abs/2105.13518v1
2105.13518
2021-05-28
natural-language-processing
1/8-BPS Couplings and Exceptional Automorphic Functions
Unlike the $\mathcal{R}^4$ and $\nabla^4\mathcal{R}^4$ couplings, whose coefficients are Langlands-Eisenstein series of the U-duality group, the coefficient $\mathcal{E}_{(0,1)}^{(d)}$ of the $\nabla^6\mathcal{R}^4$ interaction in the low-energy effective action of type II strings compactified on a torus $T^d$ belongs ...
http://arxiv.org/abs/2001.05562v3
2001.05562
2020-09-21
natural-language-processing
$^{18}$F-FDG brain PET hypometabolism in post-SARS-CoV-2 infection: substrate for persistent/delayed disorders?
Purpose: Several brain complications of SARS-CoV-2 infection have been reported. It has been moreover speculated that this neurotropism could potentially cause a delayed outbreak of neuropsychiatric and neurodegenerative diseases of neuroinflammatory origin. A propagation mechanism has been proposed across the cribrifo...
https://arxiv.org/abs/2502.09077v1
2502.09077
2025-02-13
natural-language-processing
18F-FDG-PET dissemination features in diffuse large B cell lymphoma are predictive of outcome
We assessed the predictive value of new radiomic features characterizing the lesion dissemination in baseline 18F-FDG PET and tested whether combining them with baseline metabolic tumour volume (MTV) could improve prediction of progression free survival (PFS) and overall survival (OS) in diffuse large B cell lymphoma (...
https://arxiv.org/abs/2012.14179v1
2012.14179
2020-12-28
natural-language-processing
$^{18}$F-PSMA-1007 salivary gland dosimetry: Comparison between different methods for dose calculation and assessment of inter- and intra-patient variability
Dosimetry of salivary glands (SGs) is usually implemented using simplified calculation approaches and approximated geometries. Our aims were to compare different dosimetry methods to calculate SGs absorbed doses (ADs) following 18F-PSMA-1007 injection, and to assess the AD variation across patients and single SG compon...
https://arxiv.org/abs/2210.01616v1
2210.01616
2022-10-04
natural-language-processing
18 GHz Solidly Mounted Resonator in Scandium Aluminum Nitride on SiO2/Ta2O5 Bragg Reflector
This work reports an acoustic solidly mounted resonator (SMR) at 18.64 GHz, among the highest operating frequencies reported. The device is built in scandium aluminum nitride (ScAlN) on top of silicon dioxide (SiO2) and tantalum pentoxide (Ta2O5) Bragg reflectors on silicon (Si) wafer. The stack is analyzed with X-ray ...
https://arxiv.org/abs/2407.02741v2
2407.02741
2024-07-03
natural-language-processing
18 Million Links in Commit Messages: Purpose, Evolution, and Decay
Commit messages contain diverse and valuable types of knowledge in all aspects of software maintenance and evolution. Links are an example of such knowledge. Previous work on "9.6 million links in source code comments" showed that links are prone to decay, become outdated, and lack bidirectional traceability. We conduc...
https://arxiv.org/abs/2305.16591v1
2305.16591
2023-05-26
natural-language-processing
$^{18}$O$/^{17}$O abundance ratio toward a sample of massive star forming regions with parallax distances
The $^{18}$O$/^{17}$O abundance ratio is, in principle, a powerful tool to estimate the relative contributions of massive stars and low- to intermediate-mass stars to the chemical enrichment of galaxies. We present $^{18}$O$/^{17}$O ratios derived from simultaneous observations of C$^{18}$O and C$^{17}$O 1-0 toward fif...
https://arxiv.org/abs/2304.01610v1
2304.01610
2023-04-04
natural-language-processing
18-qubit entanglement with photon's three degrees of freedom
A central theme in quantum information science is to coherently control an increasing number of quantum particles as well as their internal and external degrees of freedom (DoFs), meanwhile maintaining a high level of coherence. The ability to create and verify multiparticle entanglement with individual control and mea...
http://arxiv.org/abs/1801.04043v1
1801.04043
2018-01-12
natural-language-processing
1.8-THz-wide optical frequency comb emitted from monolithic passively mode-locked semiconductor quantum-well laser
We report on an optical frequency comb with 14nm (~1.8 THz) spectral bandwidth at -3 dB level that is generated using a passively mode-locked quantum-well (QW) laser in photonic integrated circuits (PICs) fabricated through an InP generic photonic integration technology platform. This 21.5-GHz colliding-pulse mode-lock...
http://arxiv.org/abs/1709.07954v1
1709.07954
2017-09-22
natural-language-processing
18-year long monitoring of the evolution of H2O vapor in the stratosphere of Jupiter with the Odin space telescope
Comet Shoemaker-Levy 9 impacted Jupiter in July 1994, leaving its stratosphere with several new species, among them water vapor (H2O). With the aid of a photochemical model H2O can be used as a dynamical tracer in the jovian stratosphere. In this paper, we aim at constraining vertical eddy diffusion (Kzz) at the levels...
http://arxiv.org/abs/2007.05415v1
2007.05415
2020-07-10
natural-language-processing
1930-1937: the first $β$-rays and neutrino theories
The conceptual bases of Fermi's $\beta$-ray theory (at its 90th anniversary) are examined, highlighting the innovative drive and inspirational role for the progress that followed just afterwards. Moreover, the three different ideas of the neutrino born from the proposals of Pauli 1930, again Fermi 1933 and Majorana 193...
https://arxiv.org/abs/2409.17824v1
2409.17824
2024-09-26
natural-language-processing
1953: Fermi's "little discovery" and the birth of the numerical experiment
The year 1953 is pivotal for computational physics: the first application of the Monte-Carlo method is published and calculations of the so-called Fermi-Pasta-Ulam-Tsingou experiment are started. It is the beginning of the massive use in the physical sciences of numerical methods implemented on electronic computers and...
https://arxiv.org/abs/2311.09769v1
2311.09769
2023-11-16
natural-language-processing
1974: the discovery of the first binary pulsar
The 1974 discovery, by Russell A. Hulse and Joseph H. Taylor, of the first binary pulsar PSR B1913+16, opened up new possibilities for the study of relativistic gravity. PSR B1913+16, as well as several other binary pulsars, provided {\it direct} observational proofs that gravity propagates at the velocity of light and...
http://arxiv.org/abs/1411.3930v2
1411.3930
2015-02-17
natural-language-processing
1977-2017: 40 years of decametric observations of Jupiter and the Sun with the Nancay Decameter Array
The Nancay Decameter Array (NDA) routinely observes low frequency (10-100 MHz) radio emissions of Jupiter and the Sun since 4 decades. The NDA observations, acquired with a variety of receivers with increasing performances, were the basis for numerous studies of jovian and solar radio emissions and now form a unique lo...
http://arxiv.org/abs/1709.03821v3
1709.03821
2018-07-10
natural-language-processing
$^{197}$Au($γ,\,xn;\,x\,=\,1\thicksim9$) Reaction Cross Section Measurements using Laser-Driven Ultra-Intense $γ$-Ray Source
We present a new method for the measurements of photonuclear reaction flux-weighted average cross sections and isomeric ratios using a laser-driven bremsstrahlung $\gamma$-ray source. An ultra-bright ultra-fast 60$\,\thicksim\,$250 MeV bremsstrahlung $\gamma$-ray source was established using the 200 TW laser facility i...
https://arxiv.org/abs/2209.13947v2
2209.13947
2022-09-28
natural-language-processing
197 Candidates and 104 Validated Planets in K2's First Five Fields
We present 197 planet candidates discovered using data from the first year of the NASA K2 mission (Campaigns 0-4), along with the results of an intensive program of photometric analyses, stellar spectroscopy, high-resolution imaging, and statistical validation. We distill these candidates into sets of 104 validated pla...
http://arxiv.org/abs/1607.05263v3
1607.05263
2016-07-26
natural-language-processing
1990-2020 : retours sur 30 ans d'\'echanges autour de l'identification de voix en milieu judiciaire (1990-2020: A look back at 30 years of discussions on voice identification in the judicial system)
Des enregistrements de voix se trouvent de plus en plus souvent au c{\oe}ur d{'}affaires judiciaires importantes, notamment de par l{'}essor de la t{\'e}l{\'e}phonie mobile. La justice demande {\`a} ce que des expertises en identification de voix soient r{\'e}alis{\'e}es alors que dans le m{\^e}me temps, la pertinence ...
https://aclanthology.org/2020.jeptalnrecital-eternal.5
null
2020-06-01
natural-language-processing
1991T-like Supernovae
Understanding the nature of the luminous 1991T-like supernovae is of great importance to supernova cosmology as they are likely to have been more common in the early universe. In this paper we explore the observational properties of 1991T-like supernovae to study their relationship to other luminous, slow-declining Typ...
https://arxiv.org/abs/2405.15027v1
2405.15027
2024-05-23
natural-language-processing
1991T-Like Type Ia Supernovae as an Extension of the Normal Population
Type Ia supernovae remain poorly understood despite decades of investigation. Massive computationally intensive hydrodynamic simulations have been developed and run to model an ever-growing number of proposed progenitor channels. Further complicating the matter, a large number of sub-types of Type Ia supernovae have be...
https://arxiv.org/abs/2306.08137v1
2306.08137
2023-06-13
natural-language-processing
19B isotope as a 17B-n-n three-body cluster close to unitary limit
We describe 19B in terms of a 17B-n-n three-body system, where the two-body subsystems 17B-n and n-n are unbound (virtual) states close to the unitary limit. The energy of 19B ground state is well reproduced and two low-lying resonances are predicted. Their eventual link with the Efimov physics is discussed. This model...
https://arxiv.org/abs/2012.13342v1
2012.13342
2020-12-24
natural-language-processing
19 dubious ways to compute the marginal likelihood of a phylogenetic tree topology
The marginal likelihood of a model is a key quantity for assessing the evidence provided by the data in support of a model. The marginal likelihood is the normalizing constant for the posterior density, obtained by integrating the product of the likelihood and the prior with respect to model parameters. Thus, the compu...
http://arxiv.org/abs/1811.11804v1
1811.11804
2018-11-28
natural-language-processing
$^{19}$F NMR and defect spins in vacuum-annealed LaO$_{0.5}$F$_{0.5}$BiS$_2$
We report results of magnetization and $^{19}$F NMR measurements in the normal state of as-grown LaO$_{0.5}$F$_{0.5}$BiS$_2$. The magnetization is dominated by a temperature-independent diamagnetic component and a field- and temperature-dependent paramagnetic contribution $M_\mu(H,T)$ from a $\sim$1000~ppm concentratio...
https://arxiv.org/abs/2408.06284v2
2408.06284
2024-08-12
natural-language-processing
$^{19}$F$(p,γ)$$^{20}$Ne reaction rate and the puzzling calcium abundance in metal poor stars
The $^{19}$F$(p,\gamma)$$^{20}$Ne reaction is the only process to break out of the CNO cycle at temperature below 0.1 GK and may serve as the origin of calcium in first generation of stars after the Big Bang. In the recent measurement, the Jinping Underground Nuclear Experiment (JUNA) obtained the rate of $^{19}$F$(p,\...
https://arxiv.org/abs/2411.17243v1
2411.17243
2024-11-26
natural-language-processing
19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics
As particle accelerators increase their collision rates, and deep learning solutions prove their viability, there is a growing need for lightweight and fast neural network architectures for low-latency tasks such as triggering. We examine the potential of one recent Lorentz- and permutation-symmetric architecture, PELI...
https://arxiv.org/abs/2310.16121v3
2310.16121
2023-10-24
natural-language-processing
19th century real analysis, forward and backward
19th century real analysis received a major impetus from Cauchy's work. Cauchy mentions variable quantities, limits, and infinitesimals, but the meaning he attached to these terms is not identical to their modern meaning. Some Cauchy historians work in a conceptual scheme dominated by an assumption of a teleological ...
http://arxiv.org/abs/1907.07451v1
1907.07451
2019-07-17
natural-language-processing
1-absorbing primary submodules
Let $R$ be a commutative ring with non-zero identity and $M$ be a unitary $R$-module. The goal of this paper is to extend the concept of 1-absorbing primary ideals to 1-absorbing primary submodules. A proper submodule $N$ of $M$ is said to be a 1-absorbing primary submodule if whenever non-unit elements $a,b\in R$ and ...
https://arxiv.org/abs/2102.12148v1
2102.12148
2021-02-24
natural-language-processing
1-Adamantanamine implementation in surface engineering of biomimetic PVDF-based membranes for enhanced membrane distillation
Membrane distillation (MD) stands at the forefront of desalination technology, harnessing the power of phase change to separate water vapor from saline using minimal energy resources efficiently. In response to this challenge, membranes with tuned pores morphology and surface chemistry with biomimetic 3D pine-like stru...
https://arxiv.org/abs/2503.15930v1
2503.15930
2025-03-20
natural-language-processing
1- and 3-photon dynamical Casimir effects using nonstationary cyclic qutrit
We consider the nonstationary circuit QED setup in which a 3-level artificial atom in the $\Delta$-configuration interacts with a single-mode cavity field of natural frequency $\omega $. It is demonstrated that when some atomic energy level(s) undergoes a weak harmonic modulation, photons can be generated from vacuum v...
http://arxiv.org/abs/1805.04887v2
1805.04887
2018-08-31
natural-language-processing
1-arcsecond imaging of ELAIS-N1 field at 144MHz using the LoTSS survey with international LOFAR telescope
We present the first wide area (2.5 x 2.5 deg^2) LOFAR High Band Antenna image at a resolution of 1.2'' x 2'' with a median noise of approximately 80 microJy per beam. It was made from an 8-hour International LOFAR Telescope (ILT) observation of the ELAIS-N1 field at frequencies ranging from 120 to 168 MHz with the mos...
https://arxiv.org/abs/2309.16560v3
2309.16560
2023-09-28
natural-language-processing
1A-Team / Martin-Luther-Universität Halle-Wittenberg@CLSciSumm 20
This document demonstrates our groups approach to the CL-SciSumm shared task 2020. There are three tasks in CL-SciSumm 2020. In Task 1a, we apply a Siamese neural network to identify the spans of text in the reference paper best reflecting a citation. In Task 1b, we use a SVM to classify the facet of a citation.
https://aclanthology.org/2020.sdp-1.31
null
null
natural-language-processing
1-Bend RAC Drawings of 1-Planar Graphs
A graph is 1-planar if it has a drawing where each edge is crossed at most once. A drawing is RAC (Right Angle Crossing) if the edges cross only at right angles. The relationships between 1-planar graphs and RAC drawings have been partially studied in the literature. It is known that there are both 1-planar graphs that...
http://arxiv.org/abs/1608.08418v1
1608.08418
2016-08-30
natural-language-processing
1-bend Upward Planar Drawings of SP-digraphs
It is proved that every series-parallel digraph whose maximum vertex-degree is $\Delta$ admits an upward planar drawing with at most one bend per edge such that each edge segment has one of $\Delta$ distinct slopes. This is shown to be worst-case optimal in terms of the number of slopes. Furthermore, our construction g...
http://arxiv.org/abs/1608.08425v1
1608.08425
2016-08-30
natural-language-processing
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
Scalable training of large models (like BERT and GPT-3) requires careful optimization rooted in model design, architecture, and system capabilities. From a system standpoint, communication has become a major bottleneck, especially on commodity systems with standard TCP interconnects that offer limited network bandwidth...
https://arxiv.org/abs/2102.02888v2
2102.02888
2021-02-04
natural-language-processing
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs
Recent advances in 1-bit Large Language Models (LLMs), such as BitNet and BitNet b1.58, present a promising approach to enhancing the efficiency of LLMs in terms of speed and energy consumption. These developments also enable local LLM deployment across a broad range of devices. In this work, we introduce bitnet.cpp, a...
https://arxiv.org/abs/2410.16144v2
2410.16144
2024-10-21
natural-language-processing
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air
For distributed learning among collaborative users, this paper develops and analyzes a communication-efficient scheme for federated learning (FL) over the air, which incorporates 1-bit compressive sensing (CS) into analog aggregation transmissions. To facilitate design parameter optimization, we theoretically analyze t...
https://arxiv.org/abs/2103.16055v1
2103.16055
2021-03-30
natural-language-processing
1-Bit Compressive Sensing: Reformulation and RRSP-Based Sign Recovery Theory
Recently, the 1-bit compressive sensing (1-bit CS) has been studied in the field of sparse signal recovery. Since the amplitude information of sparse signals in 1-bit CS is not available, it is often the support or the sign of a signal that can be exactly recovered with a decoding method. In this paper, we first show t...
http://arxiv.org/abs/1412.5514v2
1412.5514
2015-07-22
natural-language-processing
1-Bit Compressive Sensing via Approximate Message Passing with Built-in Parameter Estimation
1-bit compressive sensing aims to recover sparse signals from quantized 1-bit measurements. Designing efficient approaches that could handle noisy 1-bit measurements is important in a variety of applications. In this paper we use the approximate message passing (AMP) to achieve this goal due to its high computational e...
https://arxiv.org/abs/2007.07679v2
2007.07679
2020-07-15
natural-language-processing
1 Bit Electronically Reconfigurable Transmitarray Antenna with Out-of-Band Scatter Suppression
Stealthy electronically reconfigurable transmitarray antennas are essential components in wireless communication and radar detection systems. Therefore, this paper proposes a 1 bit electronically reconfigurable transmitarray antenna with out-of-band scatter suppression. The transmitarray consists of two layers, the abs...
https://arxiv.org/abs/2306.10580v1
2306.10580
2023-06-18
natural-language-processing
1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bit
Fully quantized training (FQT) accelerates the training of deep neural networks by quantizing the activations, weights, and gradients into lower precision. To explore the ultimate limit of FQT (the lowest achievable precision), we make a first attempt to 1-bit FQT. We provide a theoretical analysis of FQT based on Adam...
https://arxiv.org/abs/2408.14267v1
2408.14267
2024-08-26
natural-language-processing
1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB's Convergence Speed
To train large models (like BERT and GPT-3) on hundreds of GPUs, communication has become a major bottleneck, especially on commodity systems with limited-bandwidth TCP network. On one side large batch-size optimization such as LAMB algorithm was proposed to reduce the frequency of communication. On the other side, com...
https://arxiv.org/abs/2104.06069v2
2104.06069
2021-04-13
natural-language-processing
1-bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing
We present a novel scheme allowing for 2D target localization using highly quantized 1-bit measurements from a Frequency Modulated Continuous Wave (FMCW) radar with two receiving antennas. Quantization of radar signals introduces localization artifacts, we remove this limitation by inserting a dithering on the unquanti...
http://arxiv.org/abs/1806.05408v2
1806.05408
2018-06-15
natural-language-processing
1-Bit Massive MIMO Downlink Based on Constructive Interference
In this paper, we focus on the multiuser massive multiple-input single-output (MISO) downlink with low-cost 1-bit digital-to-analog converters (DACs) for PSK modulation, and propose a low-complexity refinement process that is applicable to any existing 1-bit precoding approaches based on the constructive interference (...
http://arxiv.org/abs/1810.12039v1
1810.12039
2018-10-29
natural-language-processing
1-Bit Massive MIMO Transmission: Embracing Interference with Symbol-Level Precoding
The deployment of large-scale antenna arrays for cellular base stations (BSs), termed as `Massive MIMO', has been a key enabler for meeting the ever-increasing capacity requirement for 5G communication systems and beyond. Despite their promising performance, fully-digital massive MIMO systems require a vast amount of h...
https://arxiv.org/abs/2007.13950v3
2007.13950
2020-07-28
natural-language-processing
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation
Due to challenging applications such as collaborative filtering, the matrix completion problem has been widely studied in the past few years. Different approaches rely on different structure assumptions on the matrix in hand. Here, we focus on the completion of a (possibly) low-rank matrix with binary entries, the so-c...
http://arxiv.org/abs/1604.04191v1
1604.04191
2016-04-14
natural-language-processing
1-Bit Matrix Completion under Exact Low-Rank Constraint
We consider the problem of noisy 1-bit matrix completion under an exact rank constraint on the true underlying matrix $M^*$. Instead of observing a subset of the noisy continuous-valued entries of a matrix $M^*$, we observe a subset of noisy 1-bit (or binary) measurements generated according to a probabilistic model. W...
http://arxiv.org/abs/1502.06689v1
1502.06689
2015-02-24
natural-language-processing
1bit-Merging: Dynamic Quantized Merging for Large Language Models
Recent advances in large language models have led to specialized models excelling in specific domains, creating a need for efficient model merging techniques. While traditional merging approaches combine parameters into a single static model, they often compromise task-specific performance. However, task-specific routi...
https://arxiv.org/abs/2502.10743v1
2502.10743
2025-02-15
natural-language-processing
1-Bit MIMO for Terahertz Channels
This paper tackles the problem of single-user multiple-input multiple-output communication with 1-bit digital-to-analog and analog-to-digital converters. With the information-theoretic capacity as benchmark, the complementary strategies of beamforming and equiprobable signaling are contrasted in the regimes of operatio...
https://arxiv.org/abs/2109.04390v1
2109.04390
2021-09-09
natural-language-processing
1-bit Quantized On-chip Hybrid Diffraction Neural Network Enabled by Authentic All-optical Fully-connected Architecture
Optical Diffraction Neural Networks (DNNs), a subset of Optical Neural Networks (ONNs), show promise in mirroring the prowess of electronic networks. This study introduces the Hybrid Diffraction Neural Network (HDNN), a novel architecture that incorporates matrix multiplication into DNNs, synergizing the benefits of co...
https://arxiv.org/abs/2404.07443v1
2404.07443
2024-04-11
natural-language-processing
1-bit raw voltage recording system for dedicated observations of transients at low radio frequencies
Recently we had reported commissioning of a prototype for pulsar observations at low radio frequencies (<100 MHz) using log-periodic dipole antennas (LPDAs) in the Gauribidanur Radio Observatory near Bangalore in India. The aforementioned system (GAuribidanur Pulsar System, GAPS) is currently being augmented to directl...
https://arxiv.org/abs/2404.15031v1
2404.15031
2024-04-23
natural-language-processing
$1$-Bit SubTHz RIS with Planar Tightly Coupled Dipoles: Beam Shaping and Prototypes
In this paper, a proof-of-concept study of a $1$-bit wideband reconfigurable intelligent surface (RIS) comprising planar tightly coupled dipoles (PTCD) is presented. The developed RIS operates at subTHz frequencies and a $3$-dB gain bandwidth of $27.4\%$ with the center frequency at $102$ GHz is shown to be obtainable ...
https://arxiv.org/abs/2402.08445v1
2402.08445
2024-02-13
natural-language-processing
1-bounded entropy and regularity problems in von Neumann algebras
We investigate the singular subspace of an inclusion of tracial von Neumann algebras. The singular subspace is a canonical N-N subbimodule of L^{2}(M) and it contains the quasinormalizer introduced by Popa, one-sided quasinormalizer introduced by Fang-Gao-Smith, and wq-normalizer introduced in Galatan-Popa (following u...
http://arxiv.org/abs/1505.06682v5
1505.06682
2017-06-28
natural-language-processing
1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task
This paper describes our system for the SemEval2022 task of matching dictionary glosses to word embeddings. We focus on the Reverse Dictionary Track of the competition, which maps multilingual glosses to reconstructed vector representations. More specifically, models convert the input of sentences to three types of emb...
https://arxiv.org/abs/2206.03702v1
2206.03702
2022-06-08
natural-language-processing
1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector
In this paper, we present our approach and empirical observations for Cause-Effect Signal Span Detection -- Subtask 2 of Shared task 3~\cite{tan-etal-2022-event} at CASE 2022. The shared task aims to extract the cause, effect, and signal spans from a given causal sentence. We model the task as a reading comprehension (...
https://arxiv.org/abs/2210.17157v1
2210.17157
2022-10-31
natural-language-processing
1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data
This paper details our participation in the Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE) workshop @ EMNLP 2022, where we take part in Subtask 1 of Shared Task 3. We approach the given task of event causality detection by proposing a self-training pipeline that follows a...
https://arxiv.org/abs/2211.02729v1
2211.02729
2022-11-04
natural-language-processing
1/c deformations of AdS$_3$ boundary conditions and the Dym hierarchy
This work introduces a novel family of boundary conditions for AdS$_3$ General Relativity, constructed through a polynomial expansion in negative integer powers of the Brown-Henneaux central charge. The associated dynamics is governed by the Dym hierarchy of integrable equations. It is shown that the infinite set of Dy...
https://arxiv.org/abs/2401.12338v2
2401.12338
2024-01-22
natural-language-processing
1-cocycles of the Witt algebra with coefficients in tensor product of modules
In this paper, we classify 1-cocycles of the Witt algebra with coefficients in the tensor product of two arbitrary tensor density modules. In a special case, we recover a theorem originally established by Ng and Taft in \cite{NT}. Furthermore, by these 1-cocycles, we determine Lie bialgebra structures over certain infi...
https://arxiv.org/abs/2406.12565v1
2406.12565
2024-06-18
natural-language-processing
$1$-cohomology of simplicial amalgams of groups
We develop a cohomological method to classify amalgams of groups. We generalize this to simplicial amalgams in any concrete category. We compute the non-commutative 1-cohomology for several examples of amalgams defined over small simplices.
http://arxiv.org/abs/1509.04679v1
1509.04679
2015-09-15
natural-language-processing
1-color-avoiding paths, special tournaments, and incidence geometry
We discuss two approaches to a recent question of Loh: must a 3-colored transitive tournament on $N$ vertices have a 1-color-\emph{avoiding} path of vertex-length at least $N^{2/3}$? This question generalizes the Erd\H{o}s--Szekeres theorem on monotone subsequences. First, we define three canonical transformations on...
http://arxiv.org/abs/1608.04153v2
1608.04153
2016-09-22
natural-language-processing
$(1+)$-complemented, $(1+)$-isomorphic copies of $L_{1}$ in dual Banach spaces
The present paper contributes to the ongoing programme of quantification of isomorphic Banach space theory focusing on Pe{\l}czy\'nski's classical work on dual Banach spaces containing $L_{1}$ ($=L_{1}[0,1]$) and the Hagler--Stegall characterisation of dual spaces containing complemented copies of $L_{1}$. We prove the...
https://arxiv.org/abs/2108.03057v2
2108.03057
2021-08-06
natural-language-processing
1-complemented subspaces of Banach spaces of universal disposition
We first unify all notions of partial injectivity appearing in the literature ---(universal) separable injectivity, (universal) $\aleph$-injectivity --- in the notion of $(\alpha, \beta)$-injectivity ($(\alpha, \beta)_\lambda$-injectivity if the parameter $\lambda$ has to be specified). Then, extend the notion of space...
http://arxiv.org/abs/1708.03823v1
1708.03823
2017-08-12
natural-language-processing
1-convex extensions of incomplete cooperative games and the average value
The model of incomplete cooperative games incorporates uncertainty into the classical model of cooperative games by considering a partial characteristic function. Thus the values for some of the coalitions are not known. The main focus of this paper is the class of 1-convex cooperative games under this framework. We ar...
https://arxiv.org/abs/2107.04679v2
2107.04679
2021-07-09
natural-language-processing
1-Cycles on Fano varieties
We prove results about 1-cycles on certain Fano varieties using techniques that rely on rational curves. Firstly, we show that Fano weighted complete intersections with index bigger than half their dimension have trivial first Griffiths group. Secondly, we prove that the first Chow group of most $2$-Fano weighted compl...
http://arxiv.org/abs/1711.09987v1
1711.09987
2017-11-27
natural-language-processing
1D/2D hybrid Te/Graphene and Te/MoS2: multifaceted broadband photonics and green energy applications
In this letter, we highlight the enhanced functionalization of the electronic and optical properties in the hybrid heterojunction of 1D Tellurene with 2D monolayer of Graphene and MoS2 in both lateral and vertical geometries, having potential applications in the field of photonics and energy harvesting. The structural ...
https://arxiv.org/abs/2203.09124v2
2203.09124
2022-03-17
natural-language-processing
1D and 2D Flow Routing on a Terrain
An important problem in terrain analysis is modeling how water flows across a terrain creating floods by forming channels and filling depressions. In this paper we study a number of \emph{flow-query} related problems: Given a terrain $\Sigma$, represented as a triangulated $xy$-monotone surface with $n$ vertices, a rai...
http://arxiv.org/abs/2009.08014v1
2009.08014
2020-09-17
natural-language-processing
1D Anisotropic Surface Wave Tomography with Bayesian Inference
Classically, anisotropic surface wave tomography is treated as an optimisation problem where it proceeds through a linearised two-step approach. It involves the construction of 2D group or phase velocity maps for each considered period, followed by the inversion of local dispersion curves inferred from these maps for 1...
https://arxiv.org/abs/2012.03915v1
2012.03915
2020-12-07
natural-language-processing
1D atmospheric study of the temperate sub-Neptune K2-18b
The atmospheric composition of exoplanets with masses between 2 and 10 M$_\oplus$ is poorly understood. In that regard, the sub-Neptune K2-18b, which is subject to Earth-like stellar irradiation, offers a valuable opportunity for the characterisation of such atmospheres. Previous analyses of its transmission spectrum f...
https://arxiv.org/abs/2011.10459v1
2011.10459
2020-11-20
natural-language-processing
1D-CapsNet-LSTM: A Deep Learning-Based Model for Multi-Step Stock Index Forecasting
Multi-step stock index forecasting is vital in finance for informed decision-making. Current forecasting methods on this task frequently produce unsatisfactory results due to the inherent data randomness and instability, thereby underscoring the demand for advanced forecasting models. Given the superiority of capsule n...
https://arxiv.org/abs/2310.02090v2
2310.02090
2023-10-03
natural-language-processing
1D CNN Architectures for Music Genre Classification
This paper proposes a 1D residual convolutional neural network (CNN) architecture for music genre classification and compares it with other recent 1D CNN architectures. The 1D CNNs learn a representation and a discriminant directly from the raw audio signal. Several convolutional layers capture the time-frequency chara...
https://arxiv.org/abs/2105.07302v1
2105.07302
2021-05-15
natural-language-processing
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality
This paper presents an alternate representation framework to commonly used time-frequency representation for acoustic scene classification (ASC). A raw audio signal is represented using a pre-trained convolutional neural network (CNN) using its various intermediate layers. The study assumes that the representations obt...
https://arxiv.org/abs/2204.00555v1
2204.00555
2022-03-31
natural-language-processing
1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data
Intrusion detection system (IDS) plays an essential role in computer networks protecting computing resources and data from outside attacks. Recent IDS faces challenges improving flexibility and efficiency of the IDS for unexpected and unpredictable attacks. Deep neural network (DNN) is considered popularly for complex ...
https://arxiv.org/abs/2003.00476v2
2003.00476
2020-03-01
natural-language-processing
1-D CNN-Based Online Signature Verification with Federated Learning
Online signature verification plays a pivotal role in security infrastructures. However, conventional online signature verification models pose significant risks to data privacy, especially during training processes. To mitigate these concerns, we propose a novel federated learning framework that leverages 1-D Convolut...
https://arxiv.org/abs/2406.06597v1
2406.06597
2024-06-06
natural-language-processing
1D-CNN-IDS: 1D CNN-based Intrusion Detection System for IIoT
The demand of the Internet of Things (IoT) has witnessed exponential growth. These progresses are made possible by the technological advancements in artificial intelligence, cloud computing, and edge computing. However, these advancements exhibit multiple challenges, including cyber threats, security and privacy concer...
https://arxiv.org/abs/2409.08529v1
2409.08529
2024-09-13
natural-language-processing
1DCNNTrans: BISINDO Sign Language Interpreters in Improving the Inclusiveness of Public Services
Indonesia ranks fourth globally in the number of deaf cases. Individuals with hearing impairments often find communication challenging, necessitating the use of sign language. However, there are limited public services that offer such inclusivity. On the other hand, advancements in artificial intelligence (AI) present ...
https://arxiv.org/abs/2409.01975v1
2409.01975
2024-09-03
natural-language-processing
1D-confined crystallization routes for tungsten phosphides
Topological materials confined in one-dimension (1D) can transform computing technologies, such as 1D topological semimetals for nanoscale interconnects and 1D topological superconductors for fault-tolerant quantum computing. As such, understanding crystallization of 1D-confined topological materials is critical. Here,...
https://arxiv.org/abs/2309.11314v1
2309.11314
2023-09-20
natural-language-processing
1d Conformal Field Theory and Dispersion Relations
We study conformal field theory in $d=1$ space-time dimensions. We derive a dispersion relation for the 4-point correlation function of identical bosons and fermions, in terms of the double discontinuity. This extends the conformal dispersion relation of arXiv:1910.12123, which holds for CFTs in dimensions $d\geq 2$, t...
https://arxiv.org/abs/2408.09870v2
2408.09870
2024-08-19
natural-language-processing
1-D Convlutional Neural Networks for the Analysis of Pupil Size Variations in Scotopic Conditions
It is well known that a systematic analysis of the pupil size variations, recorded by means of an eye-tracker, is a rich source of information about a subject's arousal and cognitive state. Current methods for pupil analysis are limited to descriptive statistics, struggle in handling the wide inter-subjects variability...
https://arxiv.org/abs/2002.02383v2
2002.02383
2020-02-06
natural-language-processing
1D-Convolutional Capsule Network for Hyperspectral Image Classification
Recently, convolutional neural networks (CNNs) have achieved excellent performances in many computer vision tasks. Specifically, for hyperspectral images (HSIs) classification, CNNs often require very complex structure due to the high dimension of HSIs. The complex structure of CNNs results in prohibitive training effo...
http://arxiv.org/abs/1903.09834v1
1903.09834
2019-03-23
natural-language-processing
1-D Convolutional Graph Convolutional Networks for Fault Detection in Distributed Energy Systems
This paper presents a 1-D convolutional graph neural network for fault detection in microgrids. The combination of 1-D convolutional neural networks (1D-CNN) and graph convolutional networks (GCN) helps extract both spatial-temporal correlations from the voltage measurements in microgrids. The fault detection scheme in...
https://arxiv.org/abs/2211.02930v1
2211.02930
2022-11-05
natural-language-processing
1D Convolutional Neural Network Models for Sleep Arousal Detection
Sleep arousals transition the depth of sleep to a more superficial stage. The occurrence of such events is often considered as a protective mechanism to alert the body of harmful stimuli. Thus, accurate sleep arousal detection can lead to an enhanced understanding of the underlying causes and influencing the assessment...
http://arxiv.org/abs/1903.01552v1
1903.01552
2019-03-01
natural-language-processing
1D Convolutional Neural Networks and Applications: A Survey
During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations. CNNs are feed-forward Artificial Neural Networks (ANNs) with alternating convolutional and subsampling layers. Deep 2D CNNs with many hidden layers and millions of ...
https://arxiv.org/abs/1905.03554v1
1905.03554
2019-05-09
natural-language-processing
1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19
Machine and deep learning algorithms have increasingly been applied to solve problems in various areas of knowledge. Among these areas, Chemometrics has been benefited from the application of these algorithms in spectral data analysis. Commonly, algorithms such as Support Vector Machines and Partial Least Squares are a...
https://arxiv.org/abs/2301.10746v1
2301.10746
2023-01-24
natural-language-processing
1D-Convolutional transformer for Parkinson disease diagnosis from gait
This paper presents an efficient deep neural network model for diagnosing Parkinson's disease from gait. More specifically, we introduce a hybrid ConvNet-Transformer architecture to accurately diagnose the disease by detecting the severity stage. The proposed architecture exploits the strengths of both Convolutional Ne...
https://arxiv.org/abs/2311.03177v1
2311.03177
2023-11-06
natural-language-processing
1D Diffeomorphism Invariant Model of a Free Scalar Relativistic Particle: Supervariable and BRST Approaches
We apply the supervariable approach to derive the proper quantum Becchi-Rouet-Stora-Tyutin (BRST) and anti-BRST symmetries for the 1D diffeomorphism invariant model of a free scalar relativistic particle by exploiting the infinitesimal classical reparameterization (i.e. 1D diffeomorphism) symmetry of this theory. We de...
https://arxiv.org/abs/1912.12909v2
1912.12909
2019-12-30
natural-language-processing
1-degree-of-freedom Robotic Gripper With Infinite Self-Twist Function
This study proposed a novel robotic gripper that can achieve grasping and infinite wrist twisting motions using a single actuator. The gripper is equipped with a differential gear mechanism that allows switching between the grasping and twisting motions according to the magnitude of the tip force applied to the finger....
https://arxiv.org/abs/2211.05303v1
2211.05303
2022-11-10
natural-language-processing
1D Error Correcting Code for Majorana Qubits
Although Majorana platforms are promising avenues to realizing topological quantum computing, they are still susceptible to errors from thermal noise and other sources. We show that the error rate of Majorana qubits can be drastically reduced using a 1D repetition code. The success of the code is due the imbalance betw...
http://arxiv.org/abs/1906.01658v3
1906.01658
2020-01-24
natural-language-processing
1D finite-width graphene nanoribbon systems: alkalization and hydrogenation
Graphene is the first truly two-dimensional (2D) material, possessing a cone-like energy spectrum near the Fermi energy and treated as a gapless semiconductor. Its unique properties trigger researchers to find more applications of it, such as high carrier mobility at room temperature, superior thermoconductivity, high ...
https://arxiv.org/abs/2206.11162v1
2206.11162
2022-06-22
natural-language-processing
1D flat bands in phosphorene nanoribbons with pentagonal nature
Materials with flat bands can serve as a promising platform to investigate strongly interacting phenomena. However, experimental realization of ideal flat bands is mostly limited to artificial lattices or moir\'e systems. Here we report a general way to construct one-dimensional (1D) flat bands in phosphorene nanoribbo...
https://arxiv.org/abs/2407.08353v2
2407.08353
2024-07-11
natural-language-processing
1D fluids with repulsive nearest-neighbour interactions: Low-temperature anomalies
A limited number of 2D and 3D materials under a constant pressure contract in volume upon heating isobarically; this anomalous phenomenon is known as the negative thermal expansion (NTE). In this paper, the NTE anomaly is observed in 1D fluids of classical particles interacting pairwisely with two competing length scal...
https://arxiv.org/abs/2503.11310v1
2503.11310
2025-03-14
natural-language-processing