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 1051–1060 of 1135 papers

TitleStatusHype
Knowledge-enhanced Agents for Interactive Text Games—0
Kubrick: Multimodal Agent Collaborations for Synthetic Video Generation—0
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination—0
Creating Arabic LLM Prompts at Scale—0
LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents—0
Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models—0
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL—0
Language-Conditioned Goal Generation: a New Approach to Language Grounding in RL—0
The Perfect Blend: Redefining RLHF with Mixture of Judges—0
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments—0
Show:102550
← PrevPage 106 of 114Next →

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