collaborators

14 papers

cs.AI2026

The Complexity Ceiling Benchmark: A Multi-Domain Evaluation of Sequential Reasoning Under Depth Scaling

Shubh Chapra, Dhruv Kumar, Murari Mandal +1

We introduce the Complexity Ceiling Benchmark (CCB), a controlled evaluation of how language-model reasoning decays as the number of required sequential steps grows. CCB fixes the…

cs.CL2026

FinBalance: A Multi-Document Accounting Reconciliation Benchmark

Sasank Tumpati, Devansh Agarwal, Ayush Kedia +6

Existing financial-NLP benchmarks mostly evaluate prepared artifacts such as filings, tables, or extracted values. Real accounting begins earlier: source documents must be reconcil…

cs.LG2026

PURGE: Projected Unlearning via Retain-Guided Erasure

Vedant Jawandhia, Daksh Ahuja, Ghufran Alam Siddiqui +3

We propose PURGE, a machine unlearning algorithm built on a simple but an under-exploited observation: continual learning (CL) and machine unlearning (MU) which are fundamentally d…

cs.CR2026

"I Strongly Suspect This Website Is a Scam": Benchmarking PII Leakage and Detection without Defense in Autonomous Web Agents

Soham Roy, Sarthakbrata Halder, Arya Bharaty +5

Deceptive web content, widely instantiated across the internet and commonly known as \textit{social-engineering attacks}, manipulates autonomous web agents into submitting users' p…

cs.CL2026

BITS Pilani at SemEval-2026 Task 9: Structured Supervised Fine-Tuning with DPO Refinement for Polarization Detection

Atharva Gupta, Dhruv Kumar, Yash Sinha

The POLAR SemEval-2026 Shared Task aims to detect online polarization and focuses on the classification and identification of multilingual, multicultural, and multi-event polarizat…

cs.CL2026

Beyond Accuracy: Diagnosing Algebraic Reasoning Failures in LLMs Across Nine Complexity Dimensions

Parth Patil, Dhruv Kumar, Yash Sinha +1

Algebraic reasoning remains one of the most informative stress tests for large language models, yet current benchmarks provide no mechanism for attributing failure to a specific ca…