Cover Image

Toward Zero-Shot Instruction Following

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lou, Renze, Yin, Wenpeng
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Model Instruction Following: A Survey of Progresses and Challenges
by: Lou, Renze, et al.
Published: (2023)

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following
by: Lou, Renze, et al.
Published: (2023)

Large Language Models for Mathematical Reasoning: Progresses and Challenges
by: Ahn, Janice, et al.
Published: (2024)

The Tool Illusion: Rethinking Tool Use in Web Agents
by: Lou, Renze, et al.
Published: (2026)

X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification
by: Xu, Hanzi, et al.
Published: (2024)

LLMs' Classification Performance is Overclaimed
by: Xu, Hanzi, et al.
Published: (2024)

ARC: Argument Representation and Coverage Analysis for Zero-Shot Long Document Summarization with Instruction Following LLMs
by: Elaraby, Mohamed, et al.
Published: (2025)

Improving Event Definition Following For Zero-Shot Event Detection
by: Cai, Zefan, et al.
Published: (2024)

Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following
by: Yang, Brian, et al.
Published: (2024)

Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning
by: Han, Janghoon, et al.
Published: (2024)

Towards Zero-Shot Multimodal Machine Translation
by: Futeral, Matthieu, et al.
Published: (2024)

Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
by: Xie, Jian, et al.
Published: (2023)

The Effect of Sampling Temperature on Problem Solving in Large Language Models
by: Renze, Matthew, et al.
Published: (2024)

Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
by: Renze, Matthew, et al.
Published: (2024)

The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models
by: Renze, Matthew, et al.
Published: (2024)

Prompt-Reverse Inconsistency: LLM Self-Inconsistency Beyond Generative Randomness and Prompt Paraphrasing
by: Ahn, Jihyun Janice, et al.
Published: (2025)

Towards Zero-Shot, Controllable Dialog Planning with LLMs
by: Väth, Dirk, et al.
Published: (2024)

Towards Better Instruction Following Retrieval Models
by: Zhuang, Yuchen, et al.
Published: (2025)

FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability
by: Xia, Congying, et al.
Published: (2024)

Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation
by: Nayak, Nihal V., et al.
Published: (2024)

Instruction Following without Instruction Tuning
by: Hewitt, John, et al.
Published: (2024)

Instruction-Following Pruning for Large Language Models
by: Hou, Bairu, et al.
Published: (2025)

Socratic Planner: Self-QA-Based Zero-Shot Planning for Embodied Instruction Following
by: Shin, Suyeon, et al.
Published: (2024)

IHEval: Evaluating Language Models on Following the Instruction Hierarchy
by: Zhang, Zhihan, et al.
Published: (2025)

ScaleFormer: Span Representation Cumulation for Long-Context Transformer
by: Du, Jiangshu, et al.
Published: (2025)

Contrastive Instruction Tuning
by: Yan, Tianyi Lorena, et al.
Published: (2024)

Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization
by: Liu, Yuchi, et al.
Published: (2024)

COMPACT: Common-token Optimized Model Pruning Across Channels and Tokens
by: Kwek, Eugene, et al.
Published: (2025)

IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
by: Wen, Bosi, et al.
Published: (2025)

InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions
by: Tanaka, Ryota, et al.
Published: (2024)

Generalizing Verifiable Instruction Following
by: Pyatkin, Valentina, et al.
Published: (2025)

Following Length Constraints in Instructions
by: Yuan, Weizhe, et al.
Published: (2024)

Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models
by: McDaniel, Emma, et al.
Published: (2024)

FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations
by: Hsieh, Cheng-Yu, et al.
Published: (2025)

MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs
by: Qian, Yusu, et al.
Published: (2024)

Zero-Shot Tokenizer Transfer
by: Minixhofer, Benjamin, et al.
Published: (2024)

Functionality-Oriented LLM Merging on the Fisher--Rao Manifold
by: Wang, Jiayu, et al.
Published: (2026)

KCIF: Knowledge-Conditioned Instruction Following
by: Murthy, Rudra, et al.
Published: (2024)

TravelPlanner: A Benchmark for Real-World Planning with Language Agents
by: Xie, Jian, et al.
Published: (2024)

Towards Zero-Shot Text-To-Speech for Arabic Dialects
by: Doan, Khai Duy, et al.
Published: (2024)