4 citations · 11 across the 11 of their papers we have counts for
12 papers
World of Workflows: A Benchmark for Bringing World Models to Enterprise Systems
Lakshya Gupta, Litao Li, Yizhe Liu +5
Frontier large language models (LLMs) excel as autonomous agents in many domains, yet they remain untested in complex enterprise systems where hidden workflows create cascading eff…
MetaGen: Self-Evolving Roles and Topologies for Multi-Agent LLM Reasoning
Yimeng Wang, Jiaxing Zhao, Hongbin Xie +6
Large language models are increasingly deployed as multi-agent systems, where specialized roles communicate and collaborate through structured interactions to solve complex tasks t…
Prompt Less, Smile More: MTP with Semantic Engineering in Lieu of Prompt Engineering
Jayanaka L. Dantanarayana, Savini Kashmira, Thakee Nathees +4
AI-Integrated programming is emerging as a foundational paradigm for building intelligent systems with large language models (LLMs). Recent approaches such as Meaning Typed Program…
A Comprehensive Evaluation of Transformer-Based Question Answering Models and RAG-Enhanced Design
Zichen Zhang, Kunlong Zhang, Hongwei Ruan +1
Transformer-based models have advanced the field of question answering, but multi-hop reasoning, where answers require combining evidence across multiple passages, remains difficul…
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
5 Team, Aohan Zeng, Xin Lv +167
We present GLM-4.5, an open-source Mixture-of-Experts (MoE) large language model with 355B total parameters and 32B activated parameters, featuring a hybrid reasoning method that s…
Towards Embodiment Scaling Laws in Robot Locomotion
Bo Ai, Liu Dai, Nico Bohlinger +7
Cross-embodiment generalization underpins the vision of building generalist embodied agents for any robot, yet its enabling factors remain poorly understood. We investigate embodim…
Temporal2Seq: A Unified Framework for Temporal Video Understanding Tasks
Min Yang, Zichen Zhang, Qian Dang +1
With the development of video understanding, there is a proliferation of tasks for clip-level temporal video analysis, including temporal action detection (TAD), temporal action se…
PEAR: Phrase-Based Hand-Object Interaction Anticipation
Zichen Zhang, Hongchen Luo, Wei Zhai +2
First-person hand-object interaction anticipation aims to predict the interaction process over a forthcoming period based on current scenes and prompts. This capability is crucial…
SoupLM: Model Integration in Large Language and Multi-Modal Models
Yue Bai, Zichen Zhang, Jiasen Lu +1
Training large language models (LLMs) and multimodal LLMs necessitates significant computing resources, and existing publicly available LLMs are typically pre-trained on diverse, p…
Bidirectional Progressive Transformer for Interaction Intention Anticipation
Zichen Zhang, Hongchen Luo, Wei Zhai +2
Interaction intention anticipation aims to jointly predict future hand trajectories and interaction hotspots. Existing research often treated trajectory forecasting and interaction…
Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning
Yanan Xiao, Minyu Liu, Zichen Zhang +3
Traffic flow prediction is an important part of smart transportation. The goal is to predict future traffic conditions based on historical data recorded by sensors and the traffic…
Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors
Cameron Haigh, Zichen Zhang, Negar Hassanpour +5
Design of Voltage-Controlled Oscillator (VCO) inductors is a laborious and time-consuming task that is conventionally done manually by human experts. In this paper, we propose a fr…