:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Shuowei, Li, Haoxin, Chu, Wenda, Fang, Yi
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2604.22193
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Meta-aware Learning in text-to-SQL Large Language Model
by: Zhang, Wenda
Published: (2025)

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems
by: Wu, Xuyang, et al.
Published: (2024)

End-to-End Ontology Learning with Large Language Models
by: Lo, Andy, et al.
Published: (2024)

Summarization-Based Document IDs for Generative Retrieval with Language Models
by: Li, Haoxin, et al.
Published: (2023)

Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning
by: Ji, Yuelyu, et al.
Published: (2024)

PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines
by: Vir, Reya, et al.
Published: (2025)

Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA
by: Li, Miaoyu, et al.
Published: (2024)

Prompt-Guided Internal States for Hallucination Detection of Large Language Models
by: Zhang, Fujie, et al.
Published: (2024)

Internal Consistency and Self-Feedback in Large Language Models: A Survey
by: Liang, Xun, et al.
Published: (2024)

Progressive Document-level Text Simplification via Large Language Models
by: Fang, Dengzhao, et al.
Published: (2025)

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
by: Singhvi, Arnav, et al.
Published: (2023)

AssertBench: A Benchmark for Evaluating Self-Assertion in Large Language Models
by: Lee, Jaeho, et al.
Published: (2025)

Assertion Enhanced Few-Shot Learning: Instructive Technique for Large Language Models to Generate Educational Explanations
by: Shahriar, Tasmia, et al.
Published: (2023)

AdaSearch: Balancing Parametric Knowledge and Search in Large Language Models via Reinforcement Learning
by: Lin, Tzu-Han, et al.
Published: (2025)

Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models
by: Zhang, Yuji, et al.
Published: (2024)

NILE: Internal Consistency Alignment in Large Language Models
by: Hu, Minda, et al.
Published: (2024)

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

Knowledge Distillation of Black-Box Large Language Models
by: Chen, Hongzhan, et al.
Published: (2024)

Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering
by: Liao, Huanxuan, et al.
Published: (2024)

Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic Enhancement
by: Yang, Rui, et al.
Published: (2023)

GS-KGC: A Generative Subgraph-based Framework for Knowledge Graph Completion with Large Language Models
by: Yang, Rui, et al.
Published: (2024)

TInR: Exploring Tool-Internalized Reasoning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2026)

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering
by: Liu, Jinxin, et al.
Published: (2024)

Large Language Models Are Human-Like Internally
by: Kuribayashi, Tatsuki, et al.
Published: (2025)

Internal Safety Collapse in Frontier Large Language Models
by: Wu, Yutao, et al.
Published: (2026)

Plato: Plan to Efficiently Decode for Large Language Model Inference
by: Jin, Shuowei, et al.
Published: (2024)

When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models
by: Wang, Keyu, et al.
Published: (2025)

Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
by: Luo, Linhao, et al.
Published: (2024)

UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models
by: Wu, Jiajun, et al.
Published: (2025)

DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi
by: Ning, Yansong, et al.
Published: (2025)

Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension
by: Fang, Yanbo, et al.
Published: (2025)

TOOLCAD: Exploring Tool-Using Large Language Models in Text-to-CAD Generation with Reinforcement Learning
by: Gong, Yifei, et al.
Published: (2026)

$\textit{SKIntern}$: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models
by: Liao, Huanxuan, et al.
Published: (2024)

Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey
by: Song, Zirui, et al.
Published: (2025)

Direct Preference Knowledge Distillation for Large Language Models
by: Li, Yixing, et al.
Published: (2024)

LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback
by: Xu, Wenda, et al.
Published: (2023)

Knowledge Boundary of Large Language Models: A Survey
by: Li, Moxin, et al.
Published: (2024)

A Survey on Knowledge Distillation of Large Language Models
by: Xu, Xiaohan, et al.
Published: (2024)

How Large Language Models Need Symbolism
by: Deng, Xiaotie, et al.
Published: (2025)

GeoEdit: Geometric Knowledge Editing for Large Language Models
by: Feng, Yujie, et al.
Published: (2025)