15 papers
TopoTuner: Topological Finetuning of Large Language Models
Abdulkadir Erol, Yash Mahajan, Vepaul Hariprashad +4
Full fine-tuning remains a strong way to adapt pretrained LLMs, but it updates all weights and can be expensive. LoRA reduces the number of trainable parameters, but it does not di…
FinTradeBench: A Financial Reasoning Benchmark for LLMs
Yogesh Agrawal, Aniruddha Dutta, Md Mahadi Hasan +2
Real-world financial decision-making is a challenging problem that requires reasoning over heterogeneous signals, including company fundamentals derived from regulatory filings and…
Exploring LLMs for South Asian Music Understanding and Generation
Faria Binte Kader, Mohtasim Hadi Rafi, Shah Wasif Sajjad +1
Recent advancements in Large Language Models (LLMs) have shown promising results in music understanding and generation tasks. However, existing works remain confined to Western ton…
OmniToM: Benchmarking Theory of Mind in LLMs via Explicit Belief Modeling
Adam Bawatneh, Sagar Sapkota, Amrit Singh Bedi +2
Theory of Mind (ToM), the ability to infer others' knowledge, intentions, and emotions, is commonly evaluated in large language models (LLMs) using end-point question answering, wh…
The Path Not Taken: Duality in Reasoning about Program Execution
Eshgin Hasanov, Md Mahadi Hassan Sibat, Santu Karmaker +1
Large language models (LLMs) have shown remarkable capabilities across diverse coding tasks. However, their adoption requires a true understanding of program execution rather than…
The Critical Role of Aspects in Measuring Document Similarity
Eftekhar Hossain, Tarnika Hazra, Ahatesham Bhuiyan +1
We introduce ASPECTSIM, a simple and interpretable framework that requires conditioning document similarity on an explicitly specified aspect, which is different from the tradition…