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20242026
most citedMulti-Party Conversational Agents: A Survey

1 citations · 1 across the 13 of their papers we have counts for

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cs.CL2026

Overlap, Unique and Conflict: Can LLMs Extract What They Can Recognize?

Eftekhar Hossain, Santu Karmaker

Understanding multi-perspective alternative narratives requires identifying how their information agrees, conflicts, or differs across sources. Existing work on cross-text relation…

cs.CL2026

Evaluating Whether LLMs Can Reliably Connect the DOTs?

Eftekhar Hossain, John Salvador, Santu Karmaker

Access to real-world information is often noisy and fragmented. Constructing a coherent narrative from such fragments requires models to reconstruct missing spans within a broader…

cs.AI2026

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…

cs.SD2026

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…

cs.AI2026

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…

cs.LG2026

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…

cs.CE2026

FinTradeBench: A Financial Reasoning Benchmark for LLMs

Yogesh Agrawal, Aniruddha Dutta, Md Mahadi Hasan +2

Financial analysis requires reasoning over heterogeneous signals, including company fundamentals from regulatory filings and trading signals derived from market prices. However, ex…

cs.CL2026

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…