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TruthfulQA
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs
Truth Neurons
Elastic Weight Consolidation for Full-Parameter Continual Pre-Training of Gemma2
DYNAMAX: Dynamic computing for Transformers and Mamba based architectures
Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer
Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
Sample, Don't Search: Rethinking Test-Time Alignment for Language Models
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment
When Persuasion Overrides Truth in Multi-Agent LLM Debates: Introducing a Confidence-Weighted Persuasion Override Rate (CW-POR)
DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models
Cost-Saving LLM Cascades with Early Abstention
Truth Knows No Language: Evaluating Truthfulness Beyond English
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
Multi-Agent Reinforcement Learning with Focal Diversity Optimization
TruthFlow: Truthful LLM Generation via Representation Flow Correction
CHAIR -- Classifier of Hallucination as Improver
(WhyPHI) Fine-Tuning PHI-3 for Multiple-Choice Question Answering: Methodology, Results, and Challenges
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs
Mitigating Adversarial Attacks in LLMs through Defensive Suffix Generation
Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages
Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity
Maintaining Informative Coherence: Migrating Hallucinations in Large Language Models via Absorbing Markov Chains
A Debate-Driven Experiment on LLM Hallucinations and Accuracy
Evaluating Consistencies in LLM responses through a Semantic Clustering of Question Answering
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning
SkillAggregation: Reference-free LLM-Dependent Aggregation
Towards Multilingual LLM Evaluation for European Languages
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts
A test suite of prompt injection attacks for LLM-based machine translation
Efficiently Deploying LLMs with Controlled Risk
Integrative Decoding: Improve Factuality via Implicit Self-consistency
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs
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