11 papers
Few-Shot Synthetic Image Attribution: Identifying Unseen Generators with Limited Samples
Shiyu Wu, Shuyan Li, Jing Li +2
AI-generated image (AIGI) attribution presents a pressing challenge that goes beyond mere AIGI detection, aiming to identify the source model or technique responsible for a synthet…
Temper and Tilt Lead to SLOP: Reward Hacking Mitigation with Inference-Time Alignment
Ye Wang, Jing Liu, Toshiaki Koike-Akino
Inference-time alignment techniques offer a lightweight alternative or complement to costly reinforcement learning, while enabling continual adaptation as alignment objectives and…
Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding
Yigeng Zhou, Wu Li, Yifan Lu +6
Large language models accumulate extensive parametric knowledge through pre-training. However, knowledge conflicts occur when outdated or incorrect parametric knowledge conflicts w…
Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs
Wu Li, Yigeng Zhou, Zesheng Shi +3
While recent self-training approaches have reduced reliance on human-labeled data for aligning LLMs, they still face critical limitations: (i) sensitivity to synthetic data quality…
VisualPrompter: Semantic-Aware Prompt Optimization with Visual Feedback for Text-to-Image Synthesis
Shiyu Wu, Mingzhen Sun, Weining Wang +2
The notable gap between user-provided and model-preferred prompts poses a significant challenge for generating high-quality images with text-to-image models, compelling the need fo…
LocateEdit-Bench: A Benchmark for Instruction-Based Editing Localization
Shiyu Wu, Shuyan Li, Jing Li +2
Recent advancements in image editing have enabled highly controllable and semantically-aware alteration of visual content, posing unprecedented challenges to manipulation localizat…