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From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

cs.CL2026

MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning

Ayoung Lee, Ryan Kwon, Yunxiang Zhang +3

The paper introduces a multilingual, culture-aware benchmark (MCLASH) and a two-step, theory‑grounded prompting method (MET) with a self‑distillation variant (MET‑D) to improve mor…

cs.AI2026

LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?

Kaijian Zou, Aaron Xiong, Yunxiang Zhang +6

Competitive programming problems are increasingly used to evaluate the coding capabilities of large language models (LLMs) due to their complexity and ease of verification. Yet, cu…

cs.AI2026

AdaMEM: Test-Time Adaptive Memory for Language Agents

Yunxiang Zhang, Yiheng Li, Ali Payani +1

A central challenge for language agents is utilizing past experience to adapt to dynamic test-time conditions. While recent work demonstrates the promise of agentic memory mechanis…

cs.CL2026

CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives

Ayoung Lee, Ryan Sungmo Kwon, Peter Railton +1

Navigating dilemmas involving conflicting values is challenging even for humans in high-stakes domains, let alone for AI, yet prior work has been limited to everyday scenarios. To…

cs.AI2026

Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Models

Inderjeet Nair, Jie Ruan, Lu Wang

Alignment faking, where a model behaves aligned with developer policy when monitored but reverts to its own preferences when unobserved, is a concerning yet poorly understood pheno…

cs.MA2026

Anchor-and-Resume Concession Under Dynamic Pricing for LLM-Augmented Freight Negotiation

Hoang Nguyen, Lu Wang, Marta Gaia Bras

Freight brokerages negotiate thousands of carrier rates daily under dynamic pricing conditions where models frequently revise targets mid-conversation. Classical time-dependent con…