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20232026
most citedLanguage Models Hallucinate, but May Excel at Fact Verification

3 citations · 4 across the 10 of their papers we have counts for

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5 papers · 2 filters

cs.CL2026

The Window Is in the Reasoning: When LLM Agents Decide to Follow Prompt Injections

Haoxuan Jia, Yang Liu, Bin Chong +13

LLM agents that read untrusted content can be hijacked by prompt injections. Runtime monitors that try to catch a hijack before the agent acts, and benchmarks that score each task…

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

Characterizing Rhetorical Misalignment in Decision-Making with Language Models

Zirui Cheng, Joey Chan, Simo Du +3

Human decision-making is often shaped by a range of well-documented cognitive biases. As large language models (LLMs) become increasingly integrated into high-stakes human-AI decis…

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…