Archive
The one-stop shop, including all posts from the Blog and Projects.
2024
- SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs papers
- Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding papers
- Scalable Collaboration of Multiple AI Agents in Workspaces blog
- AI for IT Operations blog
- PRAct: Optimizing Principled Reasoning and Acting of LLM Agent papers
- xLAM: A Family of Large Action Models to Empower AI Agent Systems papers
- Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents papers
- APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets papers
- Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization papers
- AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning papers
- AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System papers
- Editing Arbitrary Propositions in LLMs without Subject Labels papers
- Causal Layering via Conditional Entropy papers
- CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process papers
2023
- DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation papers
- Temporally Disentangled Representation Learning under Unknown Nonstationarity papers
- BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents papers
- REX: Rapid Exploration and eXploitation for AI Agents papers
- On the Unlikelihood of D-Separation papers
- Non-Parametric State-Space Models: Identifiability, Estimation and Forecasting papers
- PLOT: Prompt Learning with Optimal Transport for Vision-Language Models papers
- Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data papers
2022
- Precise and Fast Safety Risk Classification of Lithium-ion Batteries Based on Machine Learning Methodology papers
- Temporally Disentangled Representation Learning papers
- Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving papers
- How Do New Transit Stations Affect People's Sentiment and Activity? A Case Study Based on Social Media Data in Hong Kong papers
- Partial Disentanglement for Domain Adaptation papers
- Learning Temporally Causal Latent Processes from General Temporal Data papers
2021
- Data-Driven Safety Risk Prediction of Lithium-Ion Battery papers
- From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data papers
2020
- Learning a Distributed Control Scheme for Demand Flexibility in Thermostatically Controlled Loads papers
- Learning to Recommend Signal Plans under Incidents with Real-Time Traffic Prediction papers