Skip to content
conftrace_

hallucinations

40 papers

Explore in graph

Co-occurring keywords · papers mentioning both

large language model (8) language model (4) llms (3) lvlms (3) factuality (3) reinforcement learning (3) mixture-of-experts (2) retrieval-augmented generation (2) vision-language model (2) adversarial attack (2)

Papers

BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues ECCV 2024 Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models ICML 2024 Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction MIDL 2024 Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models ECCV 2024 Fast Adversarial Attacks on Language Models In One GPU Minute ICML 2024 How Language Model Hallucinations Can Snowball ICML 2024 Improving Factuality and Reasoning in Language Models through Multiagent Debate ICML 2024 In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation ICML 2024 MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation ICML 2024 Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs ECCV 2024 Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models ICML 2024 Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications ICML 2024 Tackling Structural Hallucination in Image Translation with Local Diffusion ECCV 2024 Toward Adaptive Reasoning in Large Language Models with Thought Rollback ICML 2024 Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning ICML 2024