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 551–575 of 1135 papers

TitleStatusHype
Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations—0
Separator Injection Attack: Uncovering Dialogue Biases in Large Language Models Caused by Role Separators—0
From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models—0
The Hidden Space of Safety: Understanding Preference-Tuned LLMs in Multilingual context—0
Effectively Controlling Reasoning Models through Thinking Intervention—0
Pay More Attention to the Robustness of Prompt for Instruction Data Mining—0
Learning to Instruct for Visual Instruction Tuning—0
Gemma 3 Technical Report—0
OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence—0
Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual SettingsCode0
ThinkPatterns-21k: A Systematic Study on the Impact of Thinking Patterns in LLMs—0
ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control—0
ASMA-Tune: Unlocking LLMs' Assembly Code Comprehension via Structural-Semantic Instruction TuningCode0
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning—0
Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models—0
Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding—0
Got Compute, but No Data: Lessons From Post-training a Finnish LLM—0
Open-World Skill Discovery from Unsegmented Demonstrations—0
DAFE: LLM-Based Evaluation Through Dynamic Arbitration for Free-Form Question-Answering—0
Robust Multi-Objective Controlled Decoding of Large Language ModelsCode0
XIFBench: Evaluating Large Language Models on Multilingual Instruction Following—0
Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting—0
WildIFEval: Instruction Following in the WildCode0
S2S-Arena, Evaluating Speech2Speech Protocols on Instruction Following with Paralinguistic Information—0
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval—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