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 1001–1010 of 1135 papers

TitleStatusHype
DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial TrainingCode0
ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models—0
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning—0
Active Reasoning in an Open-World Environment—0
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game—0
Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper—0
CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment—0
Privately Aligning Language Models with Reinforcement Learning—0
Analyzing Multilingual Competency of LLMs in Multi-Turn Instruction Following: A Case Study of Arabic—0
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction FollowingCode0
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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