skip to content
Tejesh Sigineni

Feed

All available articles from Berkeley AI Research.

Verified sources (25)

Aggregated feed articles with done and bookmark tracking
Done Save Date Article Source
From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon Berkeley AI Research
Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction Berkeley AI Research
Intelligence is Free, Now What? Data Systems for, of, and by Agents Berkeley AI Research
2026 BAIR Graduate Showcase Berkeley AI Research
Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling Berkeley AI Research
Gradient-based Planning for World Models at Longer Horizons Berkeley AI Research
Identifying Interactions at Scale for LLMs Berkeley AI Research
Information-Driven Design of Imaging Systems Berkeley AI Research
RL without TD learning Berkeley AI Research
What exactly does word2vec learn? Berkeley AI Research
Whole-Body Conditioned Egocentric Video Prediction Berkeley AI Research
Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign) Berkeley AI Research
Repurposing Protein Folding Models for Generation with Latent Diffusion Berkeley AI Research
Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment Berkeley AI Research
Virtual Personas for Language Models via an Anthology of Backstories Berkeley AI Research
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination Berkeley AI Research
How to Evaluate Jailbreak Methods: A Case Study with the StrongREJECT Benchmark Berkeley AI Research
Are We Ready for Multi-Image Reasoning? Launching VHs: The Visual Haystacks Benchmark! Berkeley AI Research
TinyAgent: Function Calling at the Edge Berkeley AI Research
Modeling Extremely Large Images with xT Berkeley AI Research
2024 BAIR Graduate Directory Berkeley AI Research
The Shift from Models to Compound AI Systems Berkeley AI Research
Asymmetric Certified Robustness via Feature-Convex Neural Networks Berkeley AI Research
Ghostbuster: Detecting Text Ghostwritten by Large Language Models Berkeley AI Research
Goal Representations for Instruction Following Berkeley AI Research
Rethinking the Role of PPO in RLHF Berkeley AI Research
Training Diffusion Models with Reinforcement Learning Berkeley AI Research
On the Stepwise Nature of Self-Supervised Learning Berkeley AI Research
Generating 3D Molecular Conformers via Equivariant Coarse-Graining and Aggregated Attention Berkeley AI Research
GPT-4 + Stable-Diffusion = ?: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models Berkeley AI Research
Interactive Fleet Learning Berkeley AI Research
Koala: A Dialogue Model for Academic Research Berkeley AI Research
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation Berkeley AI Research
Keeping Learning-Based Control Safe by Regulating Distributional Shift Berkeley AI Research
Reverse engineering the NTK: towards first-principles architecture design Berkeley AI Research
Why do Policy Gradient Methods work so well in Cooperative MARL? Evidence from Policy Representation Berkeley AI Research
FIGS: Attaining XGBoost-level performance with the interpretability and speed of CART Berkeley AI Research
The Berkeley Crossword Solver Berkeley AI Research
Rethinking Human-in-the-Loop for Artificial Augmented Intelligence Berkeley AI Research
Designing Societally Beneficial Reinforcement Learning Systems Berkeley AI Research
Should I Use Offline RL or Imitation Learning? Berkeley AI Research
Offline RL Made Easier: No TD Learning, Advantage Reweighting, or Transformers Berkeley AI Research
Accelerating Ukraine Intelligence Analysis with Computer Vision on Synthetic Aperture Radar Imagery Berkeley AI Research
Unsupervised Skill Discovery with Contrastive Intrinsic Control Berkeley AI Research
imodels: leveraging the unreasonable effectiveness of rules Berkeley AI Research
The Unsupervised Reinforcement Learning Benchmark Berkeley AI Research
Which Mutual Information Representation Learning Objectives are Sufficient for Control? Berkeley AI Research
Sequence Modeling Solutions for Reinforcement Learning Problems Berkeley AI Research
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets Berkeley AI Research
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Berkeley AI Research
RECON: Learning to Explore the Real World with a Ground Robot Berkeley AI Research
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Berkeley AI Research
Designs from Data: Offline Black-Box Optimization via Conservative Training Berkeley AI Research
A First-Principles Theory of Neural Network Generalization Berkeley AI Research
Making RL Tractable by Learning More Informative Reward Functions: Example-Based Control, Meta-Learning, and Normalized Maximum Likelihood Berkeley AI Research