SOTAVerified

Instruction Following

Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–525 of 1135 papers

TitleStatusHype
Instruction-Following Pruning for Large Language Models—0
Instruction-Following Speech Recognition—0
ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control—0
Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors—0
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought—0
HyperCLOVA X Technical Report—0
Data Diversity Matters for Robust Instruction Tuning—0
Hypencoder: Hypernetworks for Information Retrieval—0
Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought—0
Human-Instruction-Free LLM Self-Alignment with Limited Samples—0
DAFE: LLM-Based Evaluation Through Dynamic Arbitration for Free-Form Question-Answering—0
LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction—0
LEWIS (LayEr WIse Sparsity) -- A Training Free Guided Model Merging Approach—0
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text—0
HSI-GPT: A General-Purpose Large Scene-Motion-Language Model for Human Scene Interaction—0
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning—0
BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation—0
CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment—0
Learning to Navigate the Web—0
LearnLM: Improving Gemini for Learning—0
How well can LLMs Grade Essays in Arabic?—0
BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues—0
How Many Instructions Can LLMs Follow at Once?—0
Length Controlled Generation for Black-box LLMs—0
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4—Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88—Unverified
3GPT-4Inst-level loose-accuracy85.37—Unverified
4PaLM 2 SInst-level loose-accuracy59.11—Unverified