:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Fang, Li, Stan Z.
Format:	Preprint
Published:	2021
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2103.15066
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars
by: Yoshida, Ryo, et al.
Published: (2021)

GNN: Graph Neural Network and Large Language Model for Data Discovery
by: Hoang, Thomas
Published: (2024)

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition
by: Fu, Fangze, et al.
Published: (2024)

SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment
by: Meng, Tao, et al.
Published: (2025)

LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
by: Zou, Kaijian, et al.
Published: (2025)

DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text
by: Li, Shuaiyi, et al.
Published: (2023)

Can AI Outperform Human Experts in Creating Social Media Creatives?
by: Park, Eunkyung, et al.
Published: (2024)

Can GNN be Good Adapter for LLMs?
by: Huang, Xuanwen, et al.
Published: (2024)

LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts
by: Lam, Phat, et al.
Published: (2024)

Computational Sentence-level Metrics Predicting Human Sentence Comprehension
by: Sun, Kun, et al.
Published: (2024)

Leverage Laws: A Per-Task Framework for Human-Agent Collaboration
by: Loosmore, Stan
Published: (2026)

Can LLMs Understand the Implication of Emphasized Sentences in Dialogue?
by: Lin, Guan-Ting, et al.
Published: (2024)

GNN-CNN: An Efficient Hybrid Model of Convolutional and Graph Neural Networks for Text Representation
by: Rastakhiz, Fardin
Published: (2025)

Discovering the Representation Bottleneck of Graph Neural Networks
by: Wu, Fang, et al.
Published: (2022)

Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
by: Van Veen, Dave, et al.
Published: (2023)

Learning to Insert [PAUSE] Tokens for Better Reasoning
by: Kim, Eunki, et al.
Published: (2025)

Can Cross Encoders Produce Useful Sentence Embeddings?
by: Ananthakrishnan, Haritha, et al.
Published: (2025)

Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?
by: Meyer, Selina, et al.
Published: (2026)

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
by: Mavromatis, Costas, et al.
Published: (2024)

When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models
by: Chang, Ting-Yun, et al.
Published: (2024)

PropNet: a White-Box and Human-Like Network for Sentence Representation
by: Yang, Fei
Published: (2025)

Insert or Attach: Taxonomy Completion via Box Embedding
by: Xue, Wei, et al.
Published: (2023)

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
by: Xu, Ruiyao, et al.
Published: (2026)

Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example
by: Xia, Wei, et al.
Published: (2024)

What Artificial Neural Networks Can Tell Us About Human Language Acquisition
by: Warstadt, Alex, et al.
Published: (2022)

Adaptable Embeddings Network (AEN)
by: Loosmore, Stan, et al.
Published: (2024)

An In-depth Evaluation of Large Language Models in Sentence Simplification with Error-based Human Assessment
by: Wu, Xuanxin, et al.
Published: (2024)

Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought Disorder
by: Li, Changye, et al.
Published: (2025)

Sentence-level Media Bias Analysis with Event Relation Graph
by: Lei, Yuanyuan, et al.
Published: (2024)

Enhancing Reasoning Skills in Small Persian Medical Language Models Can Outperform Large-Scale Data Training
by: Ghassabi, Mehrdad, et al.
Published: (2025)

Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications?
by: Intrator, Yotam, et al.
Published: (2024)

LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
by: Wang, Duo, et al.
Published: (2024)

Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality
by: Zhu, Kewen, et al.
Published: (2026)

SentGraph: Hierarchical Sentence Graph for Multi-hop Retrieval-Augmented Question Answering
by: Liang, Junli, et al.
Published: (2026)

Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering
by: Liu, Guangyi, et al.
Published: (2024)

Dual Alignment Between Language Model Layers and Human Sentence Processing
by: Kuribayashi, Tatsuki, et al.
Published: (2026)

Still Not There: Can LLMs Outperform Smaller Task-Specific Seq2Seq Models on the Poetry-to-Prose Conversion Task?
by: Das, Kunal Kingkar, et al.
Published: (2025)

Think in Sentences: Explicit Sentence Boundaries Enhance Language Model's Capabilities
by: Liu, Zhichen, et al.
Published: (2026)

Break Me If You Can: Self-Jailbreaking of Aligned LLMs via Lexical Insertion Prompting
by: Kulshreshtha, Devang, et al.
Published: (2026)

Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models
by: He, Liyang, et al.
Published: (2025)