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cs.CL2026
DAGFormer: Global Topology Prediction for Transformer Cross-Layer Connections
Xiaocong Yang, Yuren Hao, ChengXiang Zhai
We propose DAGFormer, a Transformer language model whose cross-layer connections are planned by a jointly trained topology predictor. Beyond the residual connections in a standard…
cs.CL2026
User Preference Modeling for Conversational LLM Agents: Weak Rewards from Retrieval-Augmented Interaction
Yuren Hao, Shuhaib Mehri, ChengXiang Zhai +1
Large language models are increasingly used as personal assistants, yet most lack a persistent user model, forcing users to repeatedly restate preferences across sessions. We propo…
cs.CL2025
An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems
Yuren Hao, Xiang Wan, ChengXiang Zhai
Frontier large language models (LLMs) now reach near-ceiling accuracy on standard mathematical-reasoning benchmarks and gold-medal-level performance at the International Mathematic…