most citedAlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework

7 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

The Menu Is an Execution Prior: State-Path Tool Menus for Online Agents

Bo Yan, Weikai Lin, Song Wang

Language models act through tools, yet practical agents face libraries containing thousands of interfaces. We introduce the tool menu as the short, ordered subset of available tool…

cs.LG2026

ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning

Zihan Lin, Xiaohan Wang, Jie Cao +6

Reinforcement Learning with Verifiable Rewards (RLVR) enhances reasoning of Large Language Models (LLMs) but usually exhibits limited generation diversity due to the over-incentivi…

cs.CL2026

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents

Tianyu Hu, Weikai Lin, Weizhi Zhang +2

Long-term conversational agents must decide which turns to store in external memory, yet recent systems rely on autoregressive LLM generation at every turn to make that decision. W…

cs.CL2024★ 7 cited

AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework

Xiang Li, Zhenyu Li, Chen Shi +5

The task of financial analysis primarily encompasses two key areas: stock trend prediction and the corresponding financial question answering. Currently, machine learning and deep…

cs.CL2024

Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning

Yongquan He, Wenyuan Zhang, Xuancheng Huang +5

Instruction tuning for large language models (LLMs) can drive them to produce results consistent with human goals in specific downstream tasks. However, the process of continual in…