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

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Showing 901–910 of 1135 papers

TitleStatusHype
Question: How do Large Language Models perform on the Question Answering tasks? Answer:—0
BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues—0
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs—0
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents—0
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models—0
Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model—0
RE-Adapt: Reverse Engineered Adaptation of Large Language Models—0
WatME: Towards Lossless Watermarking Through Lexical Redundancy—0
Accessible Instruction-Following Agent—0
RECAST: Strengthening LLMs' Complex Instruction Following with Constraint-Verifiable Data—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