Saved in:
| Main Authors: | Chen, Ruijun, Liang, Jiehao, Gao, Shiping, Wan, Fanqi, Quan, Xiaojun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.10813 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BlockPruner: Fine-grained Pruning for Large Language Models
by: Zhong, Longguang, et al.
Published: (2024)
by: Zhong, Longguang, et al.
Published: (2024)
Discriminative Policy Optimization for Token-Level Reward Models
by: Chen, Hongzhan, et al.
Published: (2025)
by: Chen, Hongzhan, et al.
Published: (2025)
Advantage-Guided Distillation for Preference Alignment in Small Language Models
by: Gao, Shiping, et al.
Published: (2025)
by: Gao, Shiping, et al.
Published: (2025)
FuseChat: Knowledge Fusion of Chat Models
by: Wan, Fanqi, et al.
Published: (2024)
by: Wan, Fanqi, et al.
Published: (2024)
SPELL: Self-Play Reinforcement Learning for Evolving Long-Context Language Models
by: Yang, Ziyi, et al.
Published: (2025)
by: Yang, Ziyi, et al.
Published: (2025)
Stabilizing Policy Optimization via Logits Convexity
by: Chen, Hongzhan, et al.
Published: (2026)
by: Chen, Hongzhan, et al.
Published: (2026)
FuseRL: Dense Preference Optimization for Heterogeneous Model Fusion
by: Zhong, Longguang, et al.
Published: (2025)
by: Zhong, Longguang, et al.
Published: (2025)
Weighted-Reward Preference Optimization for Implicit Model Fusion
by: Yang, Ziyi, et al.
Published: (2024)
by: Yang, Ziyi, et al.
Published: (2024)
FuseChat-3.0: Preference Optimization Meets Heterogeneous Model Fusion
by: Yang, Ziyi, et al.
Published: (2025)
by: Yang, Ziyi, et al.
Published: (2025)
Unleashing Implicit Rewards: Prefix-Value Learning for Distribution-Level Optimization
by: Gao, Shiping, et al.
Published: (2026)
by: Gao, Shiping, et al.
Published: (2026)
ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agents
by: Liu, Tianjian, et al.
Published: (2025)
by: Liu, Tianjian, et al.
Published: (2025)
Knowledge Fusion of Chat LLMs: A Preliminary Technical Report
by: Wan, Fanqi, et al.
Published: (2024)
by: Wan, Fanqi, et al.
Published: (2024)
Knowledge Fusion of Large Language Models
by: Wan, Fanqi, et al.
Published: (2024)
by: Wan, Fanqi, et al.
Published: (2024)
Knowledge Verification to Nip Hallucination in the Bud
by: Wan, Fanqi, et al.
Published: (2024)
by: Wan, Fanqi, et al.
Published: (2024)
Lookahead Routing for Large Language Models
by: Huang, Canbin, et al.
Published: (2025)
by: Huang, Canbin, et al.
Published: (2025)
Knowledge Distillation of Black-Box Large Language Models
by: Chen, Hongzhan, et al.
Published: (2024)
by: Chen, Hongzhan, et al.
Published: (2024)
ProFuser: Progressive Fusion of Large Language Models
by: Shi, Tianyuan, et al.
Published: (2024)
by: Shi, Tianyuan, et al.
Published: (2024)
Agentic Policy Optimization via Instruction-Policy Co-Evolution
by: Zhou, Han, et al.
Published: (2025)
by: Zhou, Han, et al.
Published: (2025)
KBE-DME: Dynamic Multimodal Evaluation via Knowledge Enhanced Benchmark Evolution
by: Zhang, Junzhe, et al.
Published: (2025)
by: Zhang, Junzhe, et al.
Published: (2025)
ContraSolver: Self-Alignment of Language Models by Resolving Internal Preference Contradictions
by: Zhang, Xu, et al.
Published: (2024)
by: Zhang, Xu, et al.
Published: (2024)
Evaluating, Understanding, and Improving Constrained Text Generation for Large Language Models
by: Chen, Xiang, et al.
Published: (2023)
by: Chen, Xiang, et al.
Published: (2023)
DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization
by: Liu, Xuefeng, et al.
Published: (2025)
by: Liu, Xuefeng, et al.
Published: (2025)
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
by: Gao, Ziqi, et al.
Published: (2024)
by: Gao, Ziqi, et al.
Published: (2024)
Zero-Shot Cross-Domain Code Search without Fine-Tuning
by: Liang, Keyu, et al.
Published: (2025)
by: Liang, Keyu, et al.
Published: (2025)
ThinkSwitcher: When to Think Hard, When to Think Fast
by: Liang, Guosheng, et al.
Published: (2025)
by: Liang, Guosheng, et al.
Published: (2025)
Beyond Fine-Tuning: In-Context Learning and Chain-of-Thought for Reasoned Distractor Generation
by: Alhazmi, Elaf, et al.
Published: (2026)
by: Alhazmi, Elaf, et al.
Published: (2026)
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
by: Yang, Zhaorui, et al.
Published: (2024)
by: Yang, Zhaorui, et al.
Published: (2024)
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models
by: Li, Jiatao, et al.
Published: (2024)
by: Li, Jiatao, et al.
Published: (2024)
Co-Evolution of Policy and Internal Reward for Language Agents
by: Wang, Xinyu, et al.
Published: (2026)
by: Wang, Xinyu, et al.
Published: (2026)
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models
by: Liu, Zefang, et al.
Published: (2024)
by: Liu, Zefang, et al.
Published: (2024)
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models
by: Li, Bozhou, et al.
Published: (2024)
by: Li, Bozhou, et al.
Published: (2024)
Training Prompt Matters: State-Adaptive Optimization for Robust Fine-Tuning
by: Shi, Wenhang, et al.
Published: (2026)
by: Shi, Wenhang, et al.
Published: (2026)
Alirector: Alignment-Enhanced Chinese Grammatical Error Corrector
by: Yang, Haihui, et al.
Published: (2024)
by: Yang, Haihui, et al.
Published: (2024)
Optimizing Soft Prompt Tuning via Structural Evolution
by: Huang, Zhenzhen, et al.
Published: (2026)
by: Huang, Zhenzhen, et al.
Published: (2026)
Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation
by: Gao, Mingqi, et al.
Published: (2024)
by: Gao, Mingqi, et al.
Published: (2024)
Exploring the Multilingual NLG Evaluation Abilities of LLM-Based Evaluators
by: Chang, Jiayi, et al.
Published: (2025)
by: Chang, Jiayi, et al.
Published: (2025)
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
by: Sun, Shengyin, et al.
Published: (2023)
by: Sun, Shengyin, et al.
Published: (2023)
Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection
by: Li, Jiatao, et al.
Published: (2025)
by: Li, Jiatao, et al.
Published: (2025)
One-Token Rollout: Guiding Supervised Fine-Tuning of LLMs with Policy Gradient
by: Ming, Rui, et al.
Published: (2025)
by: Ming, Rui, et al.
Published: (2025)
Using LLMs for Automated Privacy Policy Analysis: Prompt Engineering, Fine-Tuning and Explainability
by: Chen, Yuxin, et al.
Published: (2025)
by: Chen, Yuxin, et al.
Published: (2025)
Similar Items
-
BlockPruner: Fine-grained Pruning for Large Language Models
by: Zhong, Longguang, et al.
Published: (2024) -
Discriminative Policy Optimization for Token-Level Reward Models
by: Chen, Hongzhan, et al.
Published: (2025) -
Advantage-Guided Distillation for Preference Alignment in Small Language Models
by: Gao, Shiping, et al.
Published: (2025) -
FuseChat: Knowledge Fusion of Chat Models
by: Wan, Fanqi, et al.
Published: (2024) -
SPELL: Self-Play Reinforcement Learning for Evolving Long-Context Language Models
by: Yang, Ziyi, et al.
Published: (2025)