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Found 21 papers, 10 papers with code
Legal Judgment Prediction via Event Extraction with Constraints
While significant progress has been made on the task of Legal Judgment Prediction (LJP) in recent years, the incorrect predictions made by SOTA LJP models can be attributed in part to their failure to (1) locate the key event information that determines the judgment, and (2) exploit the cross-task consistency constraints that exist among the subtasks of LJP.
Don’t Miss the Potential Customers! Retrieving Similar Ads to Improve User Targeting
User targeting is an essential task in the modern advertising industry: given a package of ads for a particular category of products (e. g., green tea), identify the online users to whom the ad package should be targeted.
Generative deep learning-enabled ultra-large field-of-view lens-free imaging
Advancements in high-throughput biomedical applications necessitate real-time, large field-of-view (FOV) imaging capabilities.
SNE-RoadSegV2: Advancing Heterogeneous Feature Fusion and Fallibility Awareness for Freespace Detection
Feature-fusion networks with duplex encoders have proven to be an effective technique to solve the freespace detection problem.
S$^3$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving
Hence, in this article, we introduce S$^3$M-Net, a novel joint learning framework developed to perform semantic segmentation and stereo matching simultaneously.
Large Language Models as Zero-Shot Keyphrase Extractors: A Preliminary Empirical Study
Zero-shot keyphrase extraction aims to build a keyphrase extractor without training by human-annotated data, which is challenging due to the limited human intervention involved.
Three-Filters-to-Normal+: Revisiting Discontinuity Discrimination in Depth-to-Normal Translation
This article introduces three-filters-to-normal+ (3F2N+), an extension of our previous work three-filters-to-normal (3F2N), with a specific focus on incorporating discontinuity discrimination capability into surface normal estimators (SNEs).
Mid-Long Term Daily Electricity Consumption Forecasting Based on Piecewise Linear Regression and Dilated Causal CNN
This study decomposes the daily electricity consumption series into three components: trend, seasonal, and residual, and constructs a two-stage prediction method using piecewise linear regression as a filter and Dilated Causal CNN as a predictor.
Ask Again, Then Fail: Large Language Models' Vacillations in Judgement
We observe that current conversational language models often waver in their judgements when faced with follow-up questions, even if the original judgement was correct.
Freespace Optical Flow Modeling for Automated Driving
Additionally, our proposed freespace optical flow model boasts a diverse array of applications within the realm of automated driving, providing a geometric constraint in freespace detection, vehicle localization, and more.
D2NT: A High-Performing Depth-to-Normal Translator
Surface normal holds significant importance in visual environmental perception, serving as a source of rich geometric information.
UDTIRI: An Online Open-Source Intelligent Road Inspection Benchmark Suite
To foster advancements in this burgeoning field, we have launched an online open-source benchmark suite, referred to as UDTIRI.
Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study
Recently, ChatGPT has drawn great attention from both the research community and the public.
Is ChatGPT A Good Keyphrase Generator? A Preliminary Study
Based on our findings, we conclude that ChatGPT has great potential for keyphrase generation.
SDA-SNE: Spatial Discontinuity-Aware Surface Normal Estimation via Multi-Directional Dynamic Programming
The state-of-the-art (SoTA) surface normal estimators (SNEs) generally translate depth images into surface normal maps in an end-to-end fashion.
Hyperbolic Relevance Matching for Neural Keyphrase Extraction
Meanwhile, considering the hierarchical structure hidden in the document, HyperMatch embeds both phrases and documents in the same hyperbolic space via a hyperbolic phrase encoder and a hyperbolic document encoder.
Accelerated Multiplicative Weights Update Avoids Saddle Points almost always
We consider non-convex optimization problems with constraint that is a product of simplices.
Reinforced Abstractive Summarization with Adaptive Length Controlling
Document summarization, as a fundamental task in natural language generation, aims to generate a short and coherent summary for a given document.
The first evidence for three-dimensional spin-velocity alignment in pulsars
Observations have shown a strong tendency for alignment of the pulsar space velocity and spin axis in young pulsars but, up to now, these comparisons have been restricted to two dimensions.
Astrophysics of Galaxies
Dual Long Short-Term Memory Networks for Sub-Character Representation Learning
To build a concrete study and substantiate the efficiency of our neural architecture, we take Chinese Word Segmentation as a research case example.
Effective Neural Solution for Multi-Criteria Word Segmentation
We present a simple yet elegant solution to train a single joint model on multi-criteria corpora for Chinese Word Segmentation (CWS).
