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 391–400 of 1135 papers

TitleStatusHype
ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization—0
Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search—0
DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model—0
Thinking LLMs: General Instruction Following with Thought Generation—0
Conversational Code Generation: a Case Study of Designing a Dialogue System for Generating Driving Scenarios for Testing Autonomous Vehicles—0
Surgical-LLaVA: Toward Surgical Scenario Understanding via Large Language and Vision Models—0
Toward General Instruction-Following Alignment for Retrieval-Augmented GenerationCode2
Are You Human? An Adversarial Benchmark to Expose LLMs—0
SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins—0
Nudging: Inference-time Alignment of LLMs via Guided Decoding—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