:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Yiming, Chen, Haobin, Liu, Simin, Liu, Yunyun, Zhou, Fanhao, Wei, Bing
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2406.18364
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion
by: Gao, Jinglong, et al.
Published: (2024)

PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
by: Chen, Simin, et al.
Published: (2024)

LSTM-Based Text Generation: A Study on Historical Datasets
by: Hussein, Mustafa Abbas Hussein, et al.
Published: (2024)

CodingTeachLLM: Empowering LLM's Coding Ability via AST Prior Knowledge
by: Chen, Zhangquan, et al.
Published: (2024)

Effective Prompt Extraction from Language Models
by: Zhang, Yiming, et al.
Published: (2023)

Explore BiLSTM-CRF-Based Models for Open Relation Extraction
by: Ni, Tao, et al.
Published: (2021)

Code-Based English Models Surprising Performance on Chinese QA Pair Extraction Task
by: Zheng, Linghan, et al.
Published: (2024)

A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder
by: Chen, Kedi, et al.
Published: (2024)

Improving Bangla Linguistics: Advanced LSTM, Bi-LSTM, and Seq2Seq Models for Translating Sylheti to Modern Bangla
by: Das, Sourav Kumar, et al.
Published: (2025)

Schema Lineage Extraction at Scale: Multilingual Pipelines, Composite Evaluation, and Language-Model Benchmarks
by: Yin, Jiaqi, et al.
Published: (2025)

Research on an Autonomous UAV Search and Rescue System Based on the Improved
by: Chen, Haobin, et al.
Published: (2024)

Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination
by: Chen, Simin, et al.
Published: (2025)

MixRED: A Mix-lingual Relation Extraction Dataset
by: Kong, Lingxing, et al.
Published: (2024)

Token Constraint Decoding Improves Robustness on Question Answering for Large Language Models
by: Yao, Jui-Ming, et al.
Published: (2025)

Periodic RoPE for Infinite Context LLMs
by: Huo, Simin
Published: (2026)

Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models
by: Cui, Yiming, et al.
Published: (2021)

FinTextQA: A Dataset for Long-form Financial Question Answering
by: Chen, Jian, et al.
Published: (2024)

LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models
by: Feng, Xiaoning, et al.
Published: (2022)

MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages
by: Han, Wenhan, et al.
Published: (2025)

A Survey of the Evolution of Language Model-Based Dialogue Systems: Data, Task and Models
by: Wang, Hongru, et al.
Published: (2023)

Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
by: Guo, Ping, et al.
Published: (2025)

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models
by: Liu, Ye, et al.
Published: (2024)

A novel LSTM music generator based on the fractional time-frequency feature extraction
by: Ya, Li, et al.
Published: (2026)

Improved Evidence Extraction and Metrics for Document Inconsistency Detection with LLMs
by: Tan, Nelvin, et al.
Published: (2026)

Improving Long Text Understanding with Knowledge Distilled from Summarization Model
by: Liu, Yan, et al.
Published: (2024)

SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema
by: Fang, Yushen, et al.
Published: (2025)

Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources
by: Li, Yiming, et al.
Published: (2024)

Probing Language Models for Pre-training Data Detection
by: Liu, Zhenhua, et al.
Published: (2024)

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
by: Qi, Ji, et al.
Published: (2023)

Systematic Analysis of LLM Contributions to Planning: Solver, Verifier, Heuristic
by: Li, Haoming, et al.
Published: (2024)

RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context
by: Lei, Yu, et al.
Published: (2025)

Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
by: Li, Xin, et al.
Published: (2024)

Up to 36x Speedup: Mask-based Parallel Inference Paradigm for Key Information Extraction in MLLMs
by: Wang, Xinzhong, et al.
Published: (2026)

OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets
by: Shen, Jiyuan, et al.
Published: (2026)

CaseReportBench: An LLM Benchmark Dataset for Dense Information Extraction in Clinical Case Reports
by: Zhang, Xiao Yu Cindy, et al.
Published: (2025)

MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens
by: Chen, Yu, et al.
Published: (2026)

InstructIE: A Bilingual Instruction-based Information Extraction Dataset
by: Gui, Honghao, et al.
Published: (2023)

ChatUIE: Exploring Chat-based Unified Information Extraction using Large Language Models
by: Xu, Jun, et al.
Published: (2024)

Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation
by: Chen, Simin, et al.
Published: (2025)

FML-bench: Benchmarking Machine Learning Agents for Scientific Research
by: Zou, Qiran, et al.
Published: (2025)