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Found 8 papers, 5 papers with code
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
The idea is to learn a simple linear function on a model's embedding space that can be used to reweight candidate completions.
Measuring and Controlling Instruction (In)Stability in Language Model Dialogs
System-prompting is a standard tool for customizing language-model chatbots, enabling them to follow a specific instruction.
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
This intervention significantly improves the performance of LLaMA models on the TruthfulQA benchmark.
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
Language models show a surprising range of capabilities, but the source of their apparent competence is unclear.
Towards Tokenized Human Dynamics Representation
For human action understanding, a popular research direction is to analyze short video clips with unambiguous semantic content, such as jumping and drinking.
Self-supervised Discovery of Human Actons from Long Kinematic Videos
However, methods for understanding short semantic actions cannot be directly translated to long kinematic sequences such as dancing, where it becomes challenging even to semantically label the human movements.
Intervention-based Recurrent Casual Model for Non-stationary Video Causal Discovery
Non-stationary casual structures are prevalent in real-world physical systems.
Do Time Constraints Re-Prioritize Attention to Shapes During Visual Photo Inspection?
People's visual experiences of the world are easy to carve up and examine along natural language boundaries, e. g., by category labels, attribute labels, etc.
