Papers7

#large language models

Enhancing Sentiment Classification and Irony Detection in Large Language Models through Advanced Prompt Engineering Techniques

Marvin Schmitt, Anne Schwerk et al.Jan 13arXiv

Giving large language models a few good examples and step-by-step instructions can make them much better at spotting feelings in text.

#prompt engineering#few-shot learning#chain-of-thought

Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection

Beginner

Zhiwei Liu, Yupen Cao et al.Jan 8arXiv

This paper builds MFMD-Scen, a big test to see how AI changes its truth/false judgments about the same money-related claim when the situation around it changes.

#financial misinformation detection#scenario-induced bias#multilingual benchmark

Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models

Intermediate

Rong Zhou, Dongping Chen et al.Jan 4arXiv

A digital twin is a living computer copy of a real thing (like a bridge, a heart, or a factory) that stays in sync with sensors and helps us predict, fix, and improve the real thing.

#digital twin#physics-informed AI#neural operators

Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits

Intermediate

Amirhosein Ghasemabadi, Di NiuDec 23arXiv

Large language models often sound confident even when they are wrong, and existing ways to catch mistakes are slow or not very accurate.

#self-awareness#large language models#hidden states

Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning

Intermediate

Zhenpeng Su, Leiyu Pan et al.Dec 5arXiv

Reinforcement learning (RL) can make big language models smarter, but off-policy training often pushes updates too far from the “safe zone,” causing unstable learning.

#reinforcement learning#PPO-clip#KL penalty

BEAVER: An Efficient Deterministic LLM Verifier

Intermediate

Tarun Suresh, Nalin Wadhwa et al.Dec 5arXiv

BEAVER is a new way to check, with guaranteed certainty, how likely a language model is to give answers that obey important rules.

#BEAVER#deterministic verification#large language models

Reinventing Clinical Dialogue: Agentic Paradigms for LLM Enabled Healthcare Communication

Intermediate

Xiaoquan Zhi, Hongke Zhao et al.Dec 1arXiv

Clinical conversations are special because they mix caring feelings with precise medical facts, and old AI systems struggled to do both at once.

#clinical dialogue#agentic AI#large language models