Search Results for author:
Found 17 papers, 6 papers with code
CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers
To bridge the gap, we propose a new task: conditional question answering with hierarchical multi-span answers, where both the hierarchical relations and the conditions need to be extracted.
Discontinuous phase transition of feature detection in lateral predictive coding
The brain adopts the strategy of lateral predictive coding (LPC) to construct optimal internal representations for salient features in input sensory signals to reduce the energetic cost of information transmission.
HUNYUANPROVER: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving
We introduce HunyuanProver, an language model finetuned from the Hunyuan 7B for interactive automatic theorem proving with LEAN4.
Beyond Complete Shapes: A quantitative Evaluation of 3D Shape Matching Algorithms
While approaches based on machine learning dominate modern 3D shape matching, almost all existing (learning-based) methods require that at least one of the involved shapes is complete.
Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens
We then modify the attention mask to integrate the chunk's information into the corresponding <SR> token.
Quite Good, but Not Enough: Nationality Bias in Large Language Models -- A Case Study of ChatGPT
This study investigates nationality bias in ChatGPT (GPT-3. 5), a large language model (LLM) designed for text generation.
Unsupervised 3D Structure Inference from Category-Specific Image Collections
Understanding 3D object structure from image collections of general object categories remains a long-standing challenge in computer vision.
Multilingual Sentence Transformer as A Multilingual Word Aligner
In this paper, we investigate whether multilingual sentence Transformer LaBSE is a strong multilingual word aligner.
BLCUFIGHT at SemEval-2021 Task 10: Novel Unsupervised Frameworks For Source-Free Domain Adaptation
Domain adaptation assumes that samples from source and target domains are freely accessible during a training phase.
Cell phenotypic transition proceeds through concerted reorganization of gene regulatory network
Phenotype transition takes place in many biological processes such as differentiation, and understanding how a cell reprograms its global gene expression profile is a problem of rate theories.
DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection
In this paper, we investigate the complimentary roles of spatial and temporal information and propose a novel dynamic spatiotemporal network (DS-Net) for more effective fusion of spatiotemporal information.
Calculate Center-of-Inertia Frequency and System RoCoF Using PMU Data
The power system frequency is important for the system overall stability.
Build Smart Grids on Artificial Intelligence -- A Real-world Example
Power grid data are going big with the deployment of various sensors.
Are You for Real? Detecting Identity Fraud via Dialogue Interactions
In this paper, we focus on identity fraud detection in loan applications and propose to solve this problem with a novel interactive dialogue system which consists of two modules.
Incremental Learning from Scratch for Task-Oriented Dialogue Systems
Clarifying user needs is essential for existing task-oriented dialogue systems.
A Teacher-Student Framework for Maintainable Dialog Manager
Specifically, the {``}student{''} is an extended dialog manager based on a new ontology, and the {``}teacher{''} is existing resources used for guiding the learning process of the {``}student{''}.
