11 citations · 12 across the 6 of their papers we have counts for
6 papers
MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios
Patara Trirat, Jin Myung Kwak, Jay Heo +2
Financial decision-making is contextual: forecasting prices, valuing companies, and assessing event exposure weigh price history, accounting fundamentals, macroeconomic regime, and…
Multimodal Collaborative Debate for Zero-Shot Time Series Reasoning
Patara Trirat, Jin Myung Kwak, Jay Heo +2
Large language models (LLMs) are increasingly used as natural-language interfaces to structured data, yet they remain brittle when reasoning over time series. Visual patterns can b…
Rethinking Safety in LLM Fine-tuning: An Optimization Perspective
Minseon Kim, Jin Myung Kwak, Lama Alssum +5
Fine-tuning language models is commonly believed to inevitably harm their safety, i.e., refusing to respond to harmful user requests, even when using harmless datasets, thus requir…
Context-dependent Instruction Tuning for Dialogue Response Generation
Jin Myung Kwak, Minseon Kim, Sung Ju Hwang
Recent language models have achieved impressive performance in natural language tasks by incorporating instructions with task input during fine-tuning. Since all samples in the sam…
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Minki Kang, Jin Myung Kwak, Jinheon Baek +1
Language models have achieved impressive performances on dialogue generation tasks. However, when generating responses for a conversation that requires factual knowledge, they are…
Language Detoxification with Attribute-Discriminative Latent Space
Jin Myung Kwak, Minseon Kim, Sung Ju Hwang
Transformer-based Language Models (LMs) have achieved impressive results on natural language understanding tasks, but they can also generate toxic text such as insults, threats, an…