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 871–880 of 1135 papers

TitleStatusHype
Enhancing Low-Resource Language and Instruction Following Capabilities of Audio Language Models—0
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling—0
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity—0
ETHER: Aligning Emergent Communication for Hindsight Experience Replay—0
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models—0
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking—0
SpeechVerse: A Large-scale Generalizable Audio Language Model—0
Evaluating Robustness of Large Audio Language Models to Audio Injection: An Empirical Study—0
Evaluating the Robustness to Instructions of Large Language Models—0
Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generation—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