Search Results for author:
Found 14 papers, 6 papers with code
DESTEIN: Navigating Detoxification of Language Models via Universal Steering Pairs and Head-wise Activation Fusion
In this paper, we propose DeStein, a novel method that detoxififies LMs by altering their internal representations in the activation space with lower resource and time cost.
Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs
With the rise of large language models (LLMs), ensuring they embody the principles of being helpful, honest, and harmless (3H), known as Human Alignment, becomes crucial.
Inpaint4DNeRF: Promptable Spatio-Temporal NeRF Inpainting with Generative Diffusion Models
Second and the remaining problem is thus 3D multiview consistency among all completed images, now guided by the seed images and their 3D proxies.
AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model
For human-driven vehicles, we offer proactive long-range safety warnings and blind-spot alerts while also providing safety driving recommendations and behavioral norms through human-machine dialogue and interaction.
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer
Warning: this paper includes model outputs showing offensive content.
Unsupervised Temporal Action Localization via Self-paced Incremental Learning
Thereafter, we design two (constant- and variable- speed) incremental instance learning strategies for easy-to-hard model training, thus ensuring the reliability of these video pseudolabels and further improving overall localization performance.
You Only Forward Once: Prediction and Rationalization in A Single Forward Pass
In our framework, A pre-trained language model like BERT is deployed to simultaneously perform prediction and rationalization with less impact from interlocking or spurious correlations.
Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets
Furthermore, our in-depth analysis verifies that the advanced selection of review subsets and the two-stage training scheme are vital to boosting the summarization performance.
MHLAT: Multi-hop Label-wise Attention Model for Automatic ICD Coding
International Classification of Diseases (ICD) coding is the task of assigning ICD diagnosis codes to clinical notes.
Registering Neural Radiance Fields as 3D Density Images
No significant work has been done to directly merge two partially overlapping scenes using NeRF representations.
SPSQL: Step-by-step Parsing Based Framework for Text-to-SQL Generation
Then, we construct data formats of different subtasks based on existing data and improve the accuracy of the overall model by improving the accuracy of each submodel.
CHAE: Fine-Grained Controllable Story Generation with Characters, Actions and Emotions
Story generation has emerged as an interesting yet challenging NLP task in recent years.
GPU-accelerated Faster Mean Shift with euclidean distance metrics
In previous research[10], we proposed a novel GPU-accelerated Faster Mean-shift algorithm, which greatly speed up the cosine-embedding clustering problem.
