Cover Image

ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Wangtao, Yu, Xuanqing, He, Shizhu, Zhao, Jun, Liu, Kang
Format:	Preprint
Published:	2023
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

ItD: Large Language Models Can Teach Themselves Induction through Deduction
by: Sun, Wangtao, et al.
Published: (2024)

Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models
by: Sun, Wangtao, et al.
Published: (2024)

Shuttle Between the Instructions and the Parameters of Large Language Models
by: Sun, Wangtao, et al.
Published: (2025)

ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model
by: Yu, Xuanqing, et al.
Published: (2024)

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models
by: Tan, Yuqiao, et al.
Published: (2025)

From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs
by: Sun, Wangtao, et al.
Published: (2024)

The Zero-Step Thinking: An Empirical Study of Mode Selection as Harder Early Exit in Reasoning Models
by: Tan, Yuqiao, et al.
Published: (2025)

Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model
by: Xia, Fei, et al.
Published: (2024)

DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning
by: Liao, Huanxuan, et al.
Published: (2025)

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN
by: Xu, Yao, et al.
Published: (2025)

Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate
by: Huang, Ziyang, et al.
Published: (2025)

Knowledge Editing on Black-box Large Language Models
by: Song, Xiaoshuai, et al.
Published: (2024)

Efficient Data Learning for Open Information Extraction with Pre-trained Language Models
by: Fan, Zhiyuan, et al.
Published: (2023)

LLaSA: Large Language and Structured Data Assistant
by: Xu, Yao, et al.
Published: (2024)

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
by: Huang, Yiming, et al.
Published: (2024)

Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
by: Tan, Yuqiao, et al.
Published: (2025)

SC-Taxo: Hierarchical Taxonomy Generation under Semantic Consistency Constraints using Large Language Models
by: Cai, Shiqiang, et al.
Published: (2026)

Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
by: Liao, Huanxuan, et al.
Published: (2024)

$\textit{SKIntern}$: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models
by: Liao, Huanxuan, et al.
Published: (2024)

S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models
by: Lei, Fangyu, et al.
Published: (2023)

ControlLM: Crafting Diverse Personalities for Language Models
by: Weng, Yixuan, et al.
Published: (2024)

Towards Agentic Self-Learning LLMs in Search Environment
by: Sun, Wangtao, et al.
Published: (2025)

MIST: Jailbreaking Black-box Large Language Models via Iterative Semantic Tuning
by: Zheng, Muyang, et al.
Published: (2025)

ExpSeek: Self-Triggered Experience Seeking for Web Agents
by: Zhang, Wenyuan, et al.
Published: (2026)

Socratic-PRMBench: Benchmarking Process Reward Models with Systematic Reasoning Patterns
by: Li, Xiang, et al.
Published: (2025)

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
by: Xia, Fei, et al.
Published: (2022)

Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
by: Zhou, Chenxi, et al.
Published: (2025)

Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering
by: Liao, Huanxuan, et al.
Published: (2024)

Towards Atoms of Large Language Models
by: Hu, Chenhui, et al.
Published: (2025)

ARS: Automatic Routing Solver with Large Language Models
by: Li, Kai, et al.
Published: (2025)

MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
by: Luo, Tongxu, et al.
Published: (2024)

SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models
by: Cao, Pengfei, et al.
Published: (2026)

ExpVG: Investigating the Design Space of Visual Grounding in Multimodal Large Language Model
by: Kang, Weitai, et al.
Published: (2025)

From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space
by: Tan, Yuqiao, et al.
Published: (2026)

Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints
by: Song, Ran, et al.
Published: (2024)

NSmark: Null Space Based Black-box Watermarking Defense Framework for Language Models
by: Zhao, Haodong, et al.
Published: (2024)

Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering
by: Xu, Yao, et al.
Published: (2024)

Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs
by: Ren, Yanwei, et al.
Published: (2025)

Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering
by: Liu, Jiaxiang, et al.
Published: (2024)

Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
by: Liu, Xiangyang, et al.
Published: (2025)