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 276–300 of 1135 papers

TitleStatusHype
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language ModelsCode1
Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied AgentsCode1
Constraint Back-translation Improves Complex Instruction Following of Large Language ModelsCode1
LLaMo: Large Language Model-based Molecular Graph AssistantCode1
LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone SensorsCode1
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMsCode1
Lexicon Learning for Few-Shot Neural Sequence ModelingCode1
Ex3: Automatic Novel Writing by Extracting, Excelsior and ExpandingCode1
Lexicon Learning for Few Shot Sequence ModelingCode1
LIONs: An Empirically Optimized Approach to Align Language ModelsCode1
Combining Modular Skills in Multitask LearningCode1
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated FlightCode1
Large Language Models as Evaluators for Recommendation ExplanationsCode1
Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form PlanningCode1
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed BanditsCode1
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code GenerationCode1
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language ModelsCode1
A Survey on Data Selection for LLM Instruction TuningCode1
Alexa Arena: A User-Centric Interactive Platform for Embodied AICode1
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationCode1
Lana: A Language-Capable Navigator for Instruction Following and GenerationCode1
BLEUBERI: BLEU is a surprisingly effective reward for instruction followingCode1
Jatmo: Prompt Injection Defense by Task-Specific FinetuningCode1
EventHallusion: Diagnosing Event Hallucinations in Video LLMsCode1
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source DataCode1
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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