LaMsS: When Large Language Models Meet Self-Skepticism
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Yetao, Wang, Yihong, Chen, Teng, Xi, Ningyuan, Gu, Qingqing, Lei, Hongyang, Ji, Luo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio
by: Xi, Ningyuan, et al.
Published: (2024)
by: Xi, Ningyuan, et al.
Published: (2024)
Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval
by: Ji, Luo, et al.
Published: (2024)
by: Ji, Luo, et al.
Published: (2024)
MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning
by: Xi, Ningyuan, et al.
Published: (2024)
by: Xi, Ningyuan, et al.
Published: (2024)
Learn-to-learn on Arbitrary Textual Conditioning: A Hypernetwork-Driven Meta-Gated LLM
by: Ji, Luo, et al.
Published: (2026)
by: Ji, Luo, et al.
Published: (2026)
Making Language Model a Hierarchical Classifier
by: Wang, Yihong, et al.
Published: (2025)
by: Wang, Yihong, et al.
Published: (2025)
Multi-Party Supervised Fine-tuning of Language Models for Multi-Party Dialogue Generation
by: Wang, Xiaoyu, et al.
Published: (2024)
by: Wang, Xiaoyu, et al.
Published: (2024)
L3Ms -- Lagrange Large Language Models
by: Dhillon, Guneet S., et al.
Published: (2024)
by: Dhillon, Guneet S., et al.
Published: (2024)
Investigating the Impact of Data Selection Strategies on Language Model Performance
by: Gu, Jiayao, et al.
Published: (2025)
by: Gu, Jiayao, et al.
Published: (2025)
Large Language Models are Skeptics: False Negative Problem of Input-conflicting Hallucination
by: Song, Jongyoon, et al.
Published: (2024)
by: Song, Jongyoon, et al.
Published: (2024)
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
by: Guo, Daya, et al.
Published: (2024)
by: Guo, Daya, et al.
Published: (2024)
When Large Language Models Meet Vector Databases: A Survey
by: Jing, Zhi, et al.
Published: (2024)
by: Jing, Zhi, et al.
Published: (2024)
Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling
by: Zhao, Yue, et al.
Published: (2025)
by: Zhao, Yue, et al.
Published: (2025)
Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA
by: Chen, Teng, et al.
Published: (2026)
by: Chen, Teng, et al.
Published: (2026)
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges
by: Wang, Chao, et al.
Published: (2024)
by: Wang, Chao, et al.
Published: (2024)
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
by: Chen, Zixiang, et al.
Published: (2024)
by: Chen, Zixiang, et al.
Published: (2024)
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
by: Zhou, Baichuan, et al.
Published: (2024)
by: Zhou, Baichuan, et al.
Published: (2024)
M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture
by: Lei, Hongyang, et al.
Published: (2024)
by: Lei, Hongyang, et al.
Published: (2024)
From Descriptive to Prescriptive: Uncover the Social Value Alignment of LLM-based Agents
by: Qu, Jinxian, et al.
Published: (2026)
by: Qu, Jinxian, et al.
Published: (2026)
Self-Play Preference Optimization for Language Model Alignment
by: Wu, Yue, et al.
Published: (2024)
by: Wu, Yue, et al.
Published: (2024)
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
by: Wu, Yihan, et al.
Published: (2023)
by: Wu, Yihan, et al.
Published: (2023)
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
by: Chen, Jin, et al.
Published: (2023)
by: Chen, Jin, et al.
Published: (2023)
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
by: You, Haoran, et al.
Published: (2024)
by: You, Haoran, et al.
Published: (2024)
LaMP: When Large Language Models Meet Personalization
by: Salemi, Alireza, et al.
Published: (2023)
by: Salemi, Alireza, et al.
Published: (2023)
Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models
by: Cao, Jinghan, et al.
Published: (2026)
by: Cao, Jinghan, et al.
Published: (2026)
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy
by: Yang, Zonghan, et al.
Published: (2024)
by: Yang, Zonghan, et al.
Published: (2024)
Learning When to Think While Listening in Large Audio-Language Models
by: Song, Zhiyuan, et al.
Published: (2026)
by: Song, Zhiyuan, et al.
Published: (2026)
Large Language Models for Intent-Driven Session Recommendations
by: Sun, Zhu, et al.
Published: (2023)
by: Sun, Zhu, et al.
Published: (2023)
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
by: Chuang, Yung-Sung, et al.
Published: (2025)
by: Chuang, Yung-Sung, et al.
Published: (2025)
Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts
by: Wang, Teng, et al.
Published: (2024)
by: Wang, Teng, et al.
Published: (2024)
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
by: Xiao, Teng, et al.
Published: (2024)
by: Xiao, Teng, et al.
Published: (2024)
Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
by: Zhao, Siyan, et al.
Published: (2026)
by: Zhao, Siyan, et al.
Published: (2026)
Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
by: Gu, Qingqing, et al.
Published: (2025)
by: Gu, Qingqing, et al.
Published: (2025)
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
by: Kang, Junmo, et al.
Published: (2024)
by: Kang, Junmo, et al.
Published: (2024)
SelfIE: Self-Interpretation of Large Language Model Embeddings
by: Chen, Haozhe, et al.
Published: (2024)
by: Chen, Haozhe, et al.
Published: (2024)
Rethinking the Unsolvable: When In-Context Search Meets Test-Time Scaling
by: Xia, Fanzeng, et al.
Published: (2025)
by: Xia, Fanzeng, et al.
Published: (2025)
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
by: Dong, Yihong, et al.
Published: (2024)
by: Dong, Yihong, et al.
Published: (2024)
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
by: Zhang, Biao, et al.
Published: (2024)
by: Zhang, Biao, et al.
Published: (2024)
When Should Models Change Their Minds? Contextual Belief Management in Large Language Models
by: Xu, Haoming, et al.
Published: (2026)
by: Xu, Haoming, et al.
Published: (2026)
FinGPT: Open-Source Financial Large Language Models
by: Yang, Hongyang, et al.
Published: (2023)
by: Yang, Hongyang, et al.
Published: (2023)
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2025)
by: Xu, Xiaoyu, et al.
Published: (2025)
Similar Items
-
A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio
by: Xi, Ningyuan, et al.
Published: (2024) -
Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval
by: Ji, Luo, et al.
Published: (2024) -
MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning
by: Xi, Ningyuan, et al.
Published: (2024) -
Learn-to-learn on Arbitrary Textual Conditioning: A Hypernetwork-Driven Meta-Gated LLM
by: Ji, Luo, et al.
Published: (2026) -
Making Language Model a Hierarchical Classifier
by: Wang, Yihong, et al.
Published: (2025)