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 601–610 of 1135 papers

TitleStatusHype
HAPFI: History-Aware Planning based on Fused Information—0
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation—0
SteP: Stacked LLM Policies for Web Actions—0
HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models—0
HERM: Benchmarking and Enhancing Multimodal LLMs for Human-Centric Understanding—0
Procedures as Programs: Hierarchical Control of Situated Agents through Natural Language—0
Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following—0
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models—0
Holistic Capability Preservation: Towards Compact Yet Comprehensive Reasoning Models—0
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text 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