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 531–540 of 1135 papers

TitleStatusHype
T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models—0
Incentivizing Inclusive Contributions in Model Sharing Markets—0
PIPA: A Unified Evaluation Protocol for Diagnosing Interactive Planning Agents—0
T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation—0
UAV-VLN: End-to-End Vision Language guided Navigation for UAVs—0
Ask, Fail, Repeat: Meeseeks, an Iterative Feedback Benchmark for LLMs' Multi-turn Instruction-Following Ability—0
TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language ModelsCode0
CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks—0
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs—0
ParamΔ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost—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