conftrace_

hallucination reduction

97 papers

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Co-occurring keywords

large language model (13587) retrieval-augmented generation (1592) multimodal large language model (966) hallucination mitigation (320) knowledge graph (1837) vision-language model (2348) multimodal learning (4645) direct preference optimization (332) dialogue system (1667) knowledge grounding (93)

Papers

Looking Beyond Text: Reducing Language Bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance EMNLP 2025
RAED: Retrieval-Augmented Entity Description Generation for Emerging Entity Linking and Disambiguation EMNLP 2025
CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models ACL 2024
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback CVPR 2024
Aligner: Efficient Alignment by Learning to Correct NIPS 2024
KnowGPT: Knowledge Graph based Prompting for Large Language Models NIPS 2024
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs EMNLP 2024
Self-training Large Language Models through Knowledge Detection EMNLP 2024
Grounding LLMs to In-prompt Instructions: Reducing Hallucinations Caused by Static Pre-training Knowledge COLING 2024
Predicting Text Preference Via Structured Comparative Reasoning ACL 2024
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models NAACL 2024
How Well Do Large Language Models Truly Ground? NAACL 2024
Calibrated Self-Rewarding Vision Language Models NIPS 2024
VISTA-LLAMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens CVPR 2024
Don’t Just Say “I don’t know”! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations EMNLP 2024
Model-based Preference Optimization in Abstractive Summarization without Human Feedback EMNLP 2024
mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024
SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization EMNLP 2024
Reformatted Alignment EMNLP 2024
VGA: Vision GUI Assistant - Minimizing Hallucinations through Image-Centric Fine-Tuning EMNLP 2024
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully EMNLP 2024
Chain-of-Verification Reduces Hallucination in Large Language Models ACL 2024
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models? EMNLP 2024
VIGC: Visual Instruction Generation and Correction AAAI 2024