1 citations · 2 across the 8 of their papers we have counts for
8 papers
Beyond Semantic Accuracy: Consequence-Aware Evaluation for Safety-Critical Language Understanding
Yujing Chang, Thinh Pham, Van-Phat Thai +4
Can language models be trusted in safety- critical operations? In such settings, strong per- formance on semantic metrics does not guaran- tee operational reliability: a misread al…
BamiBERT: A New BERT-based Language Model for Vietnamese
Dat Quoc Nguyen, Thinh Pham, Chi Tran +1
In this paper, we introduce BamiBERT, a new BERT-based pre-trained language model for Vietnamese that addresses key limitations of PhoBERT -- the current de facto Vietnamese text e…
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 (…
: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models
Quyet V. Do, Thinh Pham, Nguyen Nguyen +3
We study a QA curation pipeline for improving long-context complex reasoning in large language models (LLMs). Our approach, , constructs high-quality reasoning data through ri…
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…
JPIS: A Joint Model for Profile-based Intent Detection and Slot Filling with Slot-to-Intent Attention
Thinh Pham, Dat Quoc Nguyen
Profile-based intent detection and slot filling are important tasks aimed at reducing the ambiguity in user utterances by leveraging user-specific supporting profile information. H…
MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention
Thinh Pham, Chi Tran, Dat Quoc Nguyen
The research study of detecting multiple intents and filling slots is becoming more popular because of its relevance to complicated real-world situations. Recent advanced approache…
XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech
Linh The Nguyen, Thinh Pham, Dat Quoc Nguyen
We present XPhoneBERT, the first multilingual model pre-trained to learn phoneme representations for the downstream text-to-speech (TTS) task. Our XPhoneBERT has the same model arc…