Cover Image

Importance Weighting Can Help Large Language Models Self-Improve

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Chunyang, Chan, Chi-min, Xue, Wei, Liu, Qifeng, Guo, Yike
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graceful Forgetting in Generative Language Models
by: Jiang, Chunyang, et al.
Published: (2025)

Semantic Voting: A Self-Evaluation-Free Approach for Efficient LLM Self-Improvement on Unverifiable Open-ended Tasks
by: Jiang, Chunyang, et al.
Published: (2025)

Large Language Models Can Self-Improve in Long-context Reasoning
by: Li, Siheng, et al.
Published: (2024)

Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
by: Lee, Jooyoung, et al.
Published: (2024)

Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
by: Ni, Jingwei, et al.
Published: (2025)

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
by: Liu, Jun, et al.
Published: (2024)

Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models
by: Liu, Yi, et al.
Published: (2025)

Large Language Models Can Self-Improve At Web Agent Tasks
by: Patel, Ajay, et al.
Published: (2024)

Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
by: Zhang, Hanlei, et al.
Published: (2025)

ProgCo: Program Helps Self-Correction of Large Language Models
by: Song, Xiaoshuai, et al.
Published: (2025)

FastSAG: Towards Fast Non-Autoregressive Singing Accompaniment Generation
by: Chen, Jianyi, et al.
Published: (2024)

Advancing Large Language Model Attribution through Self-Improving
by: Huang, Lei, et al.
Published: (2024)

Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models
by: Huang, Liangjie, et al.
Published: (2025)

Efficient Attention Mechanisms for Large Language Models: A Survey
by: Sun, Yutao, et al.
Published: (2025)

Self-HarmLLM: Can Large Language Model Harm Itself?
by: Kim, Heehwan, et al.
Published: (2025)

SafeMT: Multi-turn Safety for Multimodal Language Models
by: Zhu, Han, et al.
Published: (2025)

How Much Can RAG Help the Reasoning of LLM?
by: Liu, Jingyu, et al.
Published: (2024)

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
by: Gou, Zhibin, et al.
Published: (2023)

HonestLLM: Toward an Honest and Helpful Large Language Model
by: Gao, Chujie, et al.
Published: (2024)

The Super Weight in Large Language Models
by: Yu, Mengxia, et al.
Published: (2024)

Evaluating the Performance of Large Language Models on GAOKAO Benchmark
by: Zhang, Xiaotian, et al.
Published: (2023)

Benchmarking Multi-National Value Alignment for Large Language Models
by: Shi, Weijie, et al.
Published: (2025)

Small Language Model Can Self-correct
by: Han, Haixia, et al.
Published: (2024)

DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning
by: Chan, Chi-Min, et al.
Published: (2026)

Can Language Model Moderators Improve the Health of Online Discourse?
by: Cho, Hyundong, et al.
Published: (2023)

Can Large Language Models do Analytical Reasoning?
by: Hu, Yebowen, et al.
Published: (2024)

Self-Discover: Large Language Models Self-Compose Reasoning Structures
by: Zhou, Pei, et al.
Published: (2024)

Does Using Counterfactual Help LLMs Explain Textual Importance in Classification?
by: Tan, Nelvin, et al.
Published: (2025)

Offline Training of Language Model Agents with Functions as Learnable Weights
by: Zhang, Shaokun, et al.
Published: (2024)

Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
by: Ye, Zhen, et al.
Published: (2024)

Translate-and-Revise: Boosting Large Language Models for Constrained Translation
by: Huang, Pengcheng, et al.
Published: (2024)

Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models
by: Tuan, Yi-Lin, et al.
Published: (2024)

Helping Large Language Models Protect Themselves: An Enhanced Filtering and Summarization System
by: Muhaimin, Sheikh Samit, et al.
Published: (2025)

Break the Chain: Large Language Models Can be Shortcut Reasoners
by: Ding, Mengru, et al.
Published: (2024)

ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models
by: Sindhujan, Archchana, et al.
Published: (2025)

Large Language Models Can Help Mitigate Barren Plateaus in Quantum Neural Networks
by: Zhuang, Jun, et al.
Published: (2025)

SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
by: Zhang, Jianyi, et al.
Published: (2024)

From Implicit to Explicit: Enhancing Self-Recognition in Large Language Models
by: Zhou, Yinghan, et al.
Published: (2025)

SeSE: Black-Box Uncertainty Quantification for Large Language Models Based on Structural Information Theory
by: Zhao, Xingtao, et al.
Published: (2025)

SSL-SSAW: Self-Supervised Learning with Sigmoid Self-Attention Weighting for Question-Based Sign Language Translation
by: Liu, Zekang, et al.
Published: (2025)