Categories: FAANG

5IDER: Unified Query Rewriting for Steering, Intent Carryover, Disfluencies, Entity Carryover and Repair

*=Equal Contributors
Providing voice assistants the ability to navigate multi-turn conversations is a challenging problem. Handling multi-turn interactions requires the system to understand various conversational use-cases, such as steering, intent carryover, disfluencies, entity carryover, and repair. The complexity of this problem is compounded by the fact that these use-cases mix with each other, often appearing simultaneously in natural language. This work proposes a non-autoregressive query rewriting architecture that can handle not only the five aforementioned tasks, but also complex…
AI Generated Robotic Content

Recent Posts

INSTAGIRL V2.0 – SOON

Ive been working tirelessly on Instagirl v2.0, trying to get perfect. Here's a little sneak…

3 hours ago

A Gentle Introduction to Q-Learning

Reinforcement learning is a relatively lesser-known area of artificial intelligence (AI) compared to highly popular…

3 hours ago

Genie 3: A new frontier for world models

Genie 3 can generate dynamic worlds that you can navigate in real time at 24…

3 hours ago

Build an AI assistant using Amazon Q Business with Amazon S3 clickable URLs

Organizations need user-friendly ways to build AI assistants that can reference enterprise documents while maintaining…

3 hours ago

Redefining enterprise data with agents and AI-native foundations

The world is not just changing; it’s being re-engineered in real-time by data and AI.…

3 hours ago

Anthropic’s new Claude 4.1 dominates coding tests days before GPT-5 arrives

Anthropic's Claude Opus 4.1 achieves 74.5% on coding benchmarks, leading the AI market, but faces…

4 hours ago