Saved in:
| Main Authors: | Chen, Haozhe, Vondrick, Carl, Mao, Chengzhi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.10949 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TeleTables: A Benchmark for Large Language Models in Telecom Table Interpretation
by: Ezzakri, Anas, et al.
Published: (2025)
by: Ezzakri, Anas, et al.
Published: (2025)
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
by: Wang, Qianli, et al.
Published: (2024)
by: Wang, Qianli, et al.
Published: (2024)
Large Language Models can be Strong Self-Detoxifiers
by: Ko, Ching-Yun, et al.
Published: (2024)
by: Ko, Ching-Yun, et al.
Published: (2024)
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)
Aligning Large Language Models by On-Policy Self-Judgment
by: Lee, Sangkyu, et al.
Published: (2024)
by: Lee, Sangkyu, et al.
Published: (2024)
Self-Evolving Critique Abilities in Large Language Models
by: Tang, Zhengyang, et al.
Published: (2025)
by: Tang, Zhengyang, et al.
Published: (2025)
Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models
by: Tsui, Ken
Published: (2025)
by: Tsui, Ken
Published: (2025)
Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only
by: Zhang, Qingru, et al.
Published: (2025)
by: Zhang, Qingru, et al.
Published: (2025)
Stepwise Self-Consistent Mathematical Reasoning with Large Language Models
by: Zhao, Zilong, et al.
Published: (2024)
by: Zhao, Zilong, et al.
Published: (2024)
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
by: Zhang, Jianyi, et al.
Published: (2024)
by: Zhang, Jianyi, et al.
Published: (2024)
Self-Training Elicits Concise Reasoning in Large Language Models
by: Munkhbat, Tergel, et al.
Published: (2025)
by: Munkhbat, Tergel, et al.
Published: (2025)
SSR: Socratic Self-Refine for Large Language Model Reasoning
by: Shi, Haizhou, et al.
Published: (2025)
by: Shi, Haizhou, et al.
Published: (2025)
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
by: Liu, Yichen, et al.
Published: (2022)
by: Liu, Yichen, et al.
Published: (2022)
Large Language Models Can Self-Improve At Web Agent Tasks
by: Patel, Ajay, et al.
Published: (2024)
by: Patel, Ajay, et al.
Published: (2024)
SAIL: Self-Improving Efficient Online Alignment of Large Language Models
by: Ding, Mucong, et al.
Published: (2024)
by: Ding, Mucong, et al.
Published: (2024)
Query-Conditioned Test-Time Self-Training for Large Language Models
by: Song, Chaehee, et al.
Published: (2026)
by: Song, Chaehee, et al.
Published: (2026)
ProgCo: Program Helps Self-Correction of Large Language Models
by: Song, Xiaoshuai, et al.
Published: (2025)
by: Song, Xiaoshuai, et al.
Published: (2025)
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
by: Mündler, Niels, et al.
Published: (2023)
by: Mündler, Niels, et al.
Published: (2023)
SDMPrune: Self-Distillation MLP Pruning for Efficient Large Language Models
by: Zhu, Hourun, et al.
Published: (2025)
by: Zhu, Hourun, et al.
Published: (2025)
Self-Recognition in Language Models
by: Davidson, Tim R., et al.
Published: (2024)
by: Davidson, Tim R., et al.
Published: (2024)
Rethinking Interpretability in the Era of Large Language Models
by: Singh, Chandan, et al.
Published: (2024)
by: Singh, Chandan, et al.
Published: (2024)
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
by: Ebrahimi, Sana, et al.
Published: (2024)
by: Ebrahimi, Sana, et al.
Published: (2024)
Self-Supervised Position Debiasing for Large Language Models
by: Liu, Zhongkun, et al.
Published: (2024)
by: Liu, Zhongkun, et al.
Published: (2024)
METEOR: Evolutionary Journey of Large Language Models from Guidance to Self-Growth
by: Li, Jiawei, et al.
Published: (2024)
by: Li, Jiawei, et al.
Published: (2024)
Scalable Best-of-N Selection for Large Language Models via Self-Certainty
by: Kang, Zhewei, et al.
Published: (2025)
by: Kang, Zhewei, et al.
Published: (2025)
AssertBench: A Benchmark for Evaluating Self-Assertion in Large Language Models
by: Lee, Jaeho, et al.
Published: (2025)
by: Lee, Jaeho, et al.
Published: (2025)
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
by: Xu, Ran, et al.
Published: (2024)
by: Xu, Ran, et al.
Published: (2024)
Explorations of Self-Repair in Language Models
by: Rushing, Cody, et al.
Published: (2024)
by: Rushing, Cody, et al.
Published: (2024)
Interpretable Steering of Large Language Models with Feature Guided Activation Additions
by: Soo, Samuel, et al.
Published: (2025)
by: Soo, Samuel, et al.
Published: (2025)
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)
Binary Autoencoder for Mechanistic Interpretability of Large Language Models
by: Cho, Hakaze, et al.
Published: (2025)
by: Cho, Hakaze, et al.
Published: (2025)
Demystifying Embedding Spaces using Large Language Models
by: Tennenholtz, Guy, et al.
Published: (2023)
by: Tennenholtz, Guy, et al.
Published: (2023)
Auto-Evolve: Enhancing Large Language Model's Performance via Self-Reasoning Framework
by: Aswani, Krishna, et al.
Published: (2024)
by: Aswani, Krishna, et al.
Published: (2024)
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
by: Dong, Guanting, et al.
Published: (2024)
by: Dong, Guanting, et al.
Published: (2024)
UniSD: Towards a Unified Self-Distillation Framework for Large Language Models
by: Jin, Yiqiao, et al.
Published: (2026)
by: Jin, Yiqiao, et al.
Published: (2026)
Self-Generated Critiques Boost Reward Modeling for Language Models
by: Yu, Yue, et al.
Published: (2024)
by: Yu, Yue, et al.
Published: (2024)
Self-Improvement in Language Models: The Sharpening Mechanism
by: Huang, Audrey, et al.
Published: (2024)
by: Huang, Audrey, et al.
Published: (2024)
A Self-matching Training Method with Annotation Embedding Models for Ontology Subsumption Prediction
by: Shiraishi, Yukihiro, et al.
Published: (2024)
by: Shiraishi, Yukihiro, et al.
Published: (2024)
TracrBench: Generating Interpretability Testbeds with Large Language Models
by: Thurnherr, Hannes, et al.
Published: (2024)
by: Thurnherr, Hannes, et al.
Published: (2024)
Fine-Grained Interpretation of Political Opinions in Large Language Models
by: Hu, Jingyu, et al.
Published: (2025)
by: Hu, Jingyu, et al.
Published: (2025)
Similar Items
-
TeleTables: A Benchmark for Large Language Models in Telecom Table Interpretation
by: Ezzakri, Anas, et al.
Published: (2025) -
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
by: Wang, Qianli, et al.
Published: (2024) -
Large Language Models can be Strong Self-Detoxifiers
by: Ko, Ching-Yun, et al.
Published: (2024) -
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
by: Chuang, Yung-Sung, et al.
Published: (2025) -
Aligning Large Language Models by On-Policy Self-Judgment
by: Lee, Sangkyu, et al.
Published: (2024)