Copertina

On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ding, Hanxing, Tao, Shuchang, Pang, Liang, Wei, Zihao, Chen, Liwei, Xu, Kun, Shen, Huawei, Cheng, Xueqi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
di: Ding, Hanxing, et al.
Pubblicazione: (2024)

ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
di: Ding, Hanxing, et al.
Pubblicazione: (2025)

MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models
di: Wei, Zihao, et al.
Pubblicazione: (2024)

Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
di: Deng, Jingcheng, et al.
Pubblicazione: (2024)

Stable Knowledge Editing in Large Language Models
di: Wei, Zihao, et al.
Pubblicazione: (2024)

Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
di: Deng, Jingcheng, et al.
Pubblicazione: (2025)

Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
di: Wu, Kangxi, et al.
Pubblicazione: (2024)

Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation
di: Gu, Jia, et al.
Pubblicazione: (2024)

When to Trust LLMs: Aligning Confidence with Response Quality
di: Tao, Shuchang, et al.
Pubblicazione: (2024)

Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model
di: Xu, Shicheng, et al.
Pubblicazione: (2025)

A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
di: Xu, Shicheng, et al.
Pubblicazione: (2024)

RLKD: Distilling LLMs' Reasoning via Reinforcement Learning
di: Xu, Shicheng, et al.
Pubblicazione: (2025)

D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models
di: Gu, Jia, et al.
Pubblicazione: (2026)

Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
di: Zhou, Junkai, et al.
Pubblicazione: (2023)

LLM Latent Reasoning as Chain of Superposition
di: Deng, Jingcheng, et al.
Pubblicazione: (2025)

The Diminishing Returns of Early-Exit Decoding in Modern LLMs
di: Wei, Rui, et al.
Pubblicazione: (2026)

List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
di: Xu, Shicheng, et al.
Pubblicazione: (2024)

Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
di: Xu, Shicheng, et al.
Pubblicazione: (2023)

Qsnail: A Questionnaire Dataset for Sequential Question Generation
di: Lei, Yan, et al.
Pubblicazione: (2024)

Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
di: Xu, Shicheng, et al.
Pubblicazione: (2024)

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
di: Xu, Shicheng, et al.
Pubblicazione: (2024)

Inference-time Alignment in Continuous Space
di: Yuan, Yige, et al.
Pubblicazione: (2025)

IDEA: Invariant Defense for Graph Adversarial Robustness
di: Tao, Shuchang, et al.
Pubblicazione: (2023)

Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent
di: Zhou, Junkai, et al.
Pubblicazione: (2024)

The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
di: Wei, Zihao, et al.
Pubblicazione: (2025)

Large Language Model Sourcing: A Survey
di: Pang, Liang, et al.
Pubblicazione: (2025)

Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding
di: Zhu, Yunchang, et al.
Pubblicazione: (2023)

How Much is Enough? The Diminishing Returns of Tokenization Training Data
di: Reddy, Varshini, et al.
Pubblicazione: (2025)

GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace
di: Duan, Zenghao, et al.
Pubblicazione: (2025)

Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
di: Xu, Yilong, et al.
Pubblicazione: (2025)

Self-Consistency Is Losing Its Edge: Diminishing Returns and Rising Costs in Modern LLMs
di: Loo, Chiyan
Pubblicazione: (2025)

Latent-GRPO: Group Relative Policy Optimization for Latent Reasoning
di: Deng, Jingcheng, et al.
Pubblicazione: (2026)

ALiiCE: Evaluating Positional Fine-grained Citation Generation
di: Xu, Yilong, et al.
Pubblicazione: (2024)

Robust Recommender System: A Survey and Future Directions
di: Zhang, Kaike, et al.
Pubblicazione: (2023)

Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement
di: Hou, Danyang, et al.
Pubblicazione: (2024)

Event-aware Video Corpus Moment Retrieval
di: Hou, Danyang, et al.
Pubblicazione: (2024)

GIFT: Games as Informal Training for Generalizable LLMs
di: Lyu, Nuoyan, et al.
Pubblicazione: (2026)

Fact-Level Confidence Calibration and Self-Correction
di: Yuan, Yige, et al.
Pubblicazione: (2024)

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation
di: Cai, Shizhan, et al.
Pubblicazione: (2025)

RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
di: Guo, Yucan, et al.
Pubblicazione: (2025)