23 citations · 33 across the 9 of their papers we have counts for
10 papers
SAGE: Stochastic Prompt Optimization via Agent-Guided Exploration
Ziyi Zhu, Luka Smyth, Saki Shinoda +1
Context engineering has emerged as a primary lever for improving AI systems without parameter updates. Recent work showing that textual gradients do not function as real gradients…
According to Me: Long-Term Personalized Referential Memory QA
Jingbiao Mei, Jinghong Chen, Guangyu Yang +3
Personalized AI assistants must recall and reason over long-term user memory, which naturally spans multiple modalities and sources such as images, videos, and emails. However, exi…
CyclicJudge: Mitigating Judge Bias Efficiently in LLM-based Evaluation
Ziyi Zhu, Olivier Tieleman, Alexey Bukhtiyarov +1
LLM-as-judge evaluation has become standard practice for open-ended model assessment; however, judges exhibit systematic biases that cannot be averaged out by increasing the number…
On Extending Direct Preference Optimization to Accommodate Ties
Jinghong Chen, Guangyu Yang, Weizhe Lin +2
We derive and investigate two DPO variants that explicitly model the possibility of declaring a tie in pair-wise comparisons. We replace the Bradley-Terry model in DPO with two wel…
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata
Jinghong Chen, Weizhe Lin, Jingbiao Mei +1
The Directed Acyclic Transformer is a fast non-autoregressive (NAR) model that performs well in Neural Machine Translation. Two issues prevent its application to general Natural La…
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers
Weizhe Lin, Jingbiao Mei, Jinghong Chen +1
Large Multimodal Models (LMMs) excel in natural language and visual understanding but are challenged by exacting tasks such as Knowledge-based Visual Question Answering (KB-VQA) wh…
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding
Guangyu Yang, Jinghong Chen, Weizhe Lin +1
Minimum Bayes Risk (MBR) decoding can significantly improve translation performance of Multilingual Large Language Models (MLLMs). However, MBR decoding is computationally expensiv…
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning
Jingbiao Mei, Jinghong Chen, Weizhe Lin +2
Hateful memes have emerged as a significant concern on the Internet. Detecting hateful memes requires the system to jointly understand the visual and textual modalities. Our invest…
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
Weizhe Lin, Jinghong Chen, Jingbiao Mei +2
Knowledge-based Visual Question Answering (KB-VQA) requires VQA systems to utilize knowledge from external knowledge bases to answer visually-grounded questions. Retrieval-Augmente…
Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response Generation
Jinghong Chen, Weizhe Lin, Bill Byrne
Ensuring that generated utterances are faithful to dialogue actions is crucial for Task-Oriented Dialogue Response Generation. Slot Error Rate (SER) only partially measures generat…