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 251–260 of 1135 papers

TitleStatusHype
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language ModelsCode1
RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of ExpertsCode1
PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient GenerationCode1
Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and DiseasesCode1
SetLexSem Challenge: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language ModelsCode1
LLaMo: Large Language Model-based Molecular Graph AssistantCode1
Constraint Back-translation Improves Complex Instruction Following of Large Language ModelsCode1
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate HallucinationsCode1
Cross-model Control: Improving Multiple Large Language Models in One-time TrainingCode1
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language TuningCode1
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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