Hanghang Tong
- Papers
- 19
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Authored papers
19Code as Agent Harness
arXiv 2026
Recursive Multi-Agent Systems
arXiv 2026
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey
arXiv 2026
dLLM: Simple Diffusion Language Modeling
arXiv 2026
Latent Collaboration in Multi-Agent Systems
arXiv 2025
Agentic Reasoning for Large Language Models
arXiv 2026
RM-R1: Reward Modeling as Reasoning
arXiv 2025
Harnessing Vision Models for Time Series Analysis: A Survey
arXiv 2025
Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum
arXiv 2025
SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence
arXiv 2025
Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance
arXiv 2025
Taming Knowledge Conflicts in Language Models
arXiv 2025
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting
arXiv 2024
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark
arXiv 2024
Ask, and it shall be given: On the Turing completeness of prompting
arXiv 2024
Deceptive Fairness Attacks on Graphs via Meta Learning
arXiv 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network
arXiv 2023
Graph Communal Contrastive Learning
arXiv 2021
Evaluating Graph Vulnerability and Robustness using TIGER
arXiv 2020
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Frequent co-authors
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