Thinh Pham

collaborators

3 papers

cs.CL2026

MERRIN: A Benchmark for Multimodal Evidence Retrieval and Reasoning in Noisy Web Environments

Han Wang, David Wan, Hyunji Lee +6

Motivated by the underspecified, multi-hop nature of search queries and the multimodal, heterogeneous, and often conflicting nature of real-world web results, we introduce MERRIN (…

cs.CL2026

$π^{2}$ : Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models

Quyet V. Do, Thinh Pham, Nguyen Nguyen +3

We study a pipeline that curates reasoning data from initial structured data for improving long-context reasoning in large language models (LLMs). Our approach, $π^{2}$ , constructs h…

cs.CL2025

SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

Thinh Pham, Nguyen Nguyen, Pratibha Zunjare +3

We introduce SealQA, a new challenge benchmark for evaluating SEarch-Augmented Language models on fact-seeking questions where web search yields conflicting, noisy, or unhelpful re…

MERRIN: A Benchmark for Multimodal Evidence Retrieval and Reasoning in Noisy Web Environments

π2: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models

SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

$π^{2}$ : Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models