:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Jinyu, Song, Xiaoying, Zhang, Diana, Thomale, Jason, He, Daqing, Hong, Lingzi
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2507.22913
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Hybrid Framework for Subject Analysis: Integrating Embedding‐Based Regression Models with Large Language Models
by: Jinyu Liu, et al.
Published: (2025)

A Dynamic Fusion Model for Consistent Crisis Response
by: Song, Xiaoying, et al.
Published: (2025)

Extracting OPQRST in Electronic Health Records using Large Language Models with Reasoning
by: Luo, Zhimeng, et al.
Published: (2025)

Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL
by: Song, Xiaoying, et al.
Published: (2025)

Outcome-Constrained Large Language Models for Countering Hate Speech
by: Hong, Lingzi, et al.
Published: (2024)

SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
by: Li, Xiaopeng, et al.
Published: (2024)

An Empirical Analysis on Large Language Models in Debate Evaluation
by: Liu, Xinyi, et al.
Published: (2024)

NOWJ@COLIEE 2025: A Multi-stage Framework Integrating Embedding Models and Large Language Models for Legal Retrieval and Entailment
by: Nguyen, Hoang-Trung, et al.
Published: (2025)

Perspective Transition of Large Language Models for Solving Subjective Tasks
by: Wang, Xiaolong, et al.
Published: (2025)

Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining
by: Liu, Shuqi, et al.
Published: (2024)

LUNA: A Model-Based Universal Analysis Framework for Large Language Models
by: Song, Da, et al.
Published: (2023)

Automatic Adaptation Rule Optimization via Large Language Models
by: Ishimizu, Yusei, et al.
Published: (2024)

Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)

Quantile Regression with Large Language Models for Price Prediction
by: Vedula, Nikhita, et al.
Published: (2025)

Semantic Structure in Large Language Model Embeddings
by: Kozlowski, Austin C., et al.
Published: (2025)

Large Language Models for Knowledge Graph Embedding: A Survey
by: Liu, Bingchen, et al.
Published: (2025)

Understanding Privacy Risks of Embeddings Induced by Large Language Models
by: Zhu, Zhihao, et al.
Published: (2024)

Linguistic and Embedding-Based Profiling of Texts generated by Humans and Large Language Models
by: Zanotto, Sergio E., et al.
Published: (2025)

Framework-Based Qualitative Analysis of Free Responses of Large Language Models: Algorithmic Fidelity
by: Amirova, Aliya, et al.
Published: (2023)

DIM: Dynamic Integration of Multimodal Entity Linking with Large Language Model
by: Song, Shezheng, et al.
Published: (2024)

Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
by: Chochlakis, Georgios, et al.
Published: (2024)

Exploring the Performance of Large Language Models on Subjective Span Identification Tasks
by: Dmonte, Alphaeus, et al.
Published: (2026)

Dhati+: Fine-tuned Large Language Models for Arabic Subjectivity Evaluation
by: Bellaouar, Slimane, et al.
Published: (2025)

Large Language Models for Multi-Choice Question Classification of Medical Subjects
by: Ponce-López, Víctor
Published: (2024)

Large Language Models for Manufacturing
by: Li, Yiwei, et al.
Published: (2024)

What are Models Thinking about? Understanding Large Language Model Hallucinations "Psychology" through Model Inner State Analysis
by: Wang, Peiran, et al.
Published: (2025)

In Context Learning and Reasoning for Symbolic Regression with Large Language Models
by: Sharlin, Samiha, et al.
Published: (2024)

A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis
by: Zhou, Changzhi, et al.
Published: (2024)

Complex Ontology Matching with Large Language Model Embeddings
by: Sousa, Guilherme, et al.
Published: (2025)

An Information-Theoretic Framework for Robust Large Language Model Editing
by: Chen, Qizhou, et al.
Published: (2025)

Understanding LLM Embeddings for Regression
by: Tang, Eric, et al.
Published: (2024)

Towards Generalist Prompting for Large Language Models by Mental Models
by: Guan, Haoxiang, et al.
Published: (2024)

Large Language Model Unlearning via Embedding-Corrupted Prompts
by: Liu, Chris Yuhao, et al.
Published: (2024)

Agent-Driven Large Language Models for Mandarin Lyric Generation
by: Liu, Hong-Hsiang, et al.
Published: (2024)

SLMEval: Entropy-Based Calibration for Human-Aligned Evaluation of Large Language Models
by: Daynauth, Roland, et al.
Published: (2025)

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
by: Qi, Liu, et al.
Published: (2024)

Scatter-Based Innovation Propagation in Large Language Models for Multi-Stage Process Adaptation
by: Su, Hong
Published: (2025)

Gradients with Respect to Semantics Preserving Embeddings Tell the Uncertainty of Large Language Models
by: Li, Mingda, et al.
Published: (2026)

Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions
by: Song, Shezheng
Published: (2024)

CoLLEGe: Concept Embedding Generation for Large Language Models
by: Teehan, Ryan, et al.
Published: (2024)