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 631–640 of 1135 papers

TitleStatusHype
How well can LLMs Grade Essays in Arabic?—0
Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages—0
Compositional Instruction Following with Language Models and Reinforcement Learning—0
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model—0
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking—0
BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues—0
DNA 1.0 Technical Report—0
Iterative Label Refinement Matters More than Preference Optimization under Weak SupervisionCode0
Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model—0
A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context—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