Saved in:
| Main Authors: | Lan, Kaixin, Fang, Tao, Wong, Derek F., Xu, Yabo, Chao, Lidia S., Zhao, Cecilia G. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.00839 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Worlds Within Words: Translating Culture in Ancient Chinese Texts with Multi-Agent Coordination
by: He, Xiaoqi, et al.
Published: (2026)
by: He, Xiaoqi, et al.
Published: (2026)
Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model
by: Xu, Haoyun, et al.
Published: (2024)
by: Xu, Haoyun, et al.
Published: (2024)
Intrinsic Model Weaknesses: How Priming Attacks Unveil Vulnerabilities in Large Language Models
by: Huang, Yuyi, et al.
Published: (2025)
by: Huang, Yuyi, et al.
Published: (2025)
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU
by: Chen, Guanhua, et al.
Published: (2024)
by: Chen, Guanhua, et al.
Published: (2024)
Path Drift in Large Reasoning Models:How First-Person Commitments Override Safety
by: Huang, Yuyi, et al.
Published: (2025)
by: Huang, Yuyi, et al.
Published: (2025)
SGIC: A Self-Guided Iterative Calibration Framework for RAG
by: Chen, Guanhua, et al.
Published: (2025)
by: Chen, Guanhua, et al.
Published: (2025)
Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model
by: Zhan, Runzhe, et al.
Published: (2024)
by: Zhan, Runzhe, et al.
Published: (2024)
Rethinking Prompt-based Debiasing in Large Language Models
by: Yang, Xinyi, et al.
Published: (2025)
by: Yang, Xinyi, et al.
Published: (2025)
Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation
by: Sun, Yanming, et al.
Published: (2025)
by: Sun, Yanming, et al.
Published: (2025)
Can ChatGPT Really Understand Modern Chinese Poetry?
by: Wang, Shanshan, et al.
Published: (2026)
by: Wang, Shanshan, et al.
Published: (2026)
What is the Best Way for ChatGPT to Translate Poetry?
by: Wang, Shanshan, et al.
Published: (2024)
by: Wang, Shanshan, et al.
Published: (2024)
Unveiling LLMs' Metaphorical Understanding: Exploring Conceptual Irrelevance, Context Leveraging and Syntactic Influence
by: Ye, Fengying, et al.
Published: (2025)
by: Ye, Fengying, et al.
Published: (2025)
Originality, Imitation, and Plagiarism: Teaching Writing in the Digital Age
Published: (2020)
Published: (2020)
LLMCL-GEC: Advancing Grammatical Error Correction with LLM-Driven Curriculum Learning
by: Fang, Tao, et al.
Published: (2024)
by: Fang, Tao, et al.
Published: (2024)
Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
by: Zhan, Runzhe, et al.
Published: (2025)
by: Zhan, Runzhe, et al.
Published: (2025)
Neuron-Aware Data Selection In Instruction Tuning For Large Language Models
by: Chen, Xin, et al.
Published: (2026)
by: Chen, Xin, et al.
Published: (2026)
Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QA
by: Chen, Guanhua, et al.
Published: (2026)
by: Chen, Guanhua, et al.
Published: (2026)
Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry
by: Wang, Shanshan, et al.
Published: (2025)
by: Wang, Shanshan, et al.
Published: (2025)
A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions
by: Wu, Junchao, et al.
Published: (2023)
by: Wu, Junchao, et al.
Published: (2023)
Not All LoRA Parameters Are Essential: Insights on Inference Necessity
by: Chen, Guanhua, et al.
Published: (2025)
by: Chen, Guanhua, et al.
Published: (2025)
How Large Language Models are Transforming Machine-Paraphrased Plagiarism
by: Wahle, Jan Philip, et al.
Published: (2022)
by: Wahle, Jan Philip, et al.
Published: (2022)
From Scenes to Elements: Multi-Granularity Evidence Retrieval for Verifiable Multimodal RAG
by: Chen, Guanhua, et al.
Published: (2026)
by: Chen, Guanhua, et al.
Published: (2026)
Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore
by: Wu, Junchao, et al.
Published: (2024)
by: Wu, Junchao, et al.
Published: (2024)
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection
by: Lee, Jooyoung, et al.
Published: (2024)
by: Lee, Jooyoung, et al.
Published: (2024)
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
by: Wu, Junchao, et al.
Published: (2024)
by: Wu, Junchao, et al.
Published: (2024)
AutoTestForge: A Multidimensional Automated Testing Framework for Natural Language Processing Models
by: Xing, Hengrui, et al.
Published: (2025)
by: Xing, Hengrui, et al.
Published: (2025)
CLIF: Concept-Level Influence Functions for Transparent Bottleneck Models
by: Sun, Yike, et al.
Published: (2026)
by: Sun, Yike, et al.
Published: (2026)
TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models
by: Dobler, Konstantin, et al.
Published: (2023)
by: Dobler, Konstantin, et al.
Published: (2023)
Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models
by: Zhang, Jiayi, et al.
Published: (2025)
by: Zhang, Jiayi, et al.
Published: (2025)
WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model
by: Fang, Tianqing, et al.
Published: (2025)
by: Fang, Tianqing, et al.
Published: (2025)
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding
by: Zhao, Zheng, et al.
Published: (2024)
by: Zhao, Zheng, et al.
Published: (2024)
Overview of the Plagiarism Detection Task at PAN 2025
by: Greiner-Petter, André, et al.
Published: (2025)
by: Greiner-Petter, André, et al.
Published: (2025)
All That Glitters is Not Novel: Plagiarism in AI Generated Research
by: Gupta, Tarun, et al.
Published: (2025)
by: Gupta, Tarun, et al.
Published: (2025)
MLIR-Forge: A Modular Framework for Language Smiths
by: Ates, Berke, et al.
Published: (2026)
by: Ates, Berke, et al.
Published: (2026)
VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning
by: Ma, Jingkun, et al.
Published: (2024)
by: Ma, Jingkun, et al.
Published: (2024)
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation
by: Li, Renhao, et al.
Published: (2024)
by: Li, Renhao, et al.
Published: (2024)
LLMs Plagiarize: Ensuring Responsible Sourcing of Large Language Model Training Data Through Knowledge Graph Comparison
by: Mondal, Devam, et al.
Published: (2024)
by: Mondal, Devam, et al.
Published: (2024)
FOCUS: DLLMs Know How to Tame Their Compute Bound
by: Liang, Kaihua, et al.
Published: (2026)
by: Liang, Kaihua, et al.
Published: (2026)
FOCUS: First Order Concentrated Updating Scheme
by: Liu, Yizhou, et al.
Published: (2025)
by: Liu, Yizhou, et al.
Published: (2025)
Similar Items
-
Worlds Within Words: Translating Culture in Ancient Chinese Texts with Multi-Agent Coordination
by: He, Xiaoqi, et al.
Published: (2026) -
Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model
by: Xu, Haoyun, et al.
Published: (2024) -
Intrinsic Model Weaknesses: How Priming Attacks Unveil Vulnerabilities in Large Language Models
by: Huang, Yuyi, et al.
Published: (2025) -
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU
by: Chen, Guanhua, et al.
Published: (2024) -
Path Drift in Large Reasoning Models:How First-Person Commitments Override Safety
by: Huang, Yuyi, et al.
Published: (2025)