Africa
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
A common practice to address this issue is using the model itself to annotate unlabeled data samples.
PUZZLES: A Benchmark for Neural Algorithmic Reasoning
These advancements have been enabled in part by the availability of benchmarks.
Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models
Throughout this paper, we assume that the entries of W are subgaussian.
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
Large Language Models (LLMs) are becoming a prominent generative AI tool, where the user enters a query and the LLM generates an answer.
User-Creator Feature Polarization in Recommender Systems with Dual Influence Tao Lin Harvard University
The dual nature of these systems naturally influences both users and creators: users' preferences are
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations
Recent works proposed amortizing the cost by learning generalized wave functions across different structures and compounds instead of solving each problem independently.
Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
Overall, our method can generate high-fidelity, diverse, and multi-view consistent meshes from single-view wild images within 30 seconds, as shown in Figure 1. We conduct extensive experiments on various wild 2D images with different styles.
Distributional Successor Features Enable Zero-Shot Policy Optimization
Intelligent agents must be generalists, capable of quickly adapting to various tasks.
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
Our findings on NoRa dataset reveal a prevalent vulnerability to such noise among current LLMs, with existing robust methods like self-correction and self-consistency showing limited efficacy.