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20202026
most citedLarge Language Model for Science: A Study on P vs. NP

3 citations · 3 across the 10 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2026

Hindsight Memory-PRM: Supervising Memory Management with Auditable Hindsight Credit

Haoxuan Jia, Yang Liu, Yingguang Yang +14

Memory operations of long-horizon LLM agents are hard to supervise: an operation's value is unobservable when it is taken. But they are special -- they leave machine-readable evide…

cs.CL2026

FinHarness: An Inline Lifecycle Safety Harness for Finance LLM Agents

Haoxuan Jia, Yang Liu, Bin Chong +10

Finance LLM agents must simultaneously block prompt-induced unauthorized actions and approve legitimate multi-step business workflows. However, boundary filters often miss irrevers…

cs.CL2026

ExTax: Explainable Disinformation Detection via Persuasion, Emotion, and Narrative Role Taxonomies

Shang Luo, Yingguang Yang, Zhenchen Sun +8

The democratization of LLMs has accelerated the generation and circulation of highly fluent disinformation, making traditional syntax-semantic verification increasingly insufficien…

cs.CL20233 cited

Large Language Model for Science: A Study on P vs. NP

Qingxiu Dong, Li Dong, Ke Xu +4

In this work, we use large language models (LLMs) to augment and accelerate research on the P versus NP problem, one of the most important open problems in theoretical computer sci…

cs.CL2020

Self-Attention Attribution: Interpreting Information Interactions Inside Transformer

Yaru Hao, Li Dong, Furu Wei +1

The great success of Transformer-based models benefits from the powerful multi-head self-attention mechanism, which learns token dependencies and encodes contextual information fro…