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20212025
most citedImproving Language Models via Plug-and-Play Retrieval Feedback

12 citations · 31 across the 14 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering

Tianyu Yang, Yiyang Nan, Lisen Dai +3

Audio-Visual Question Answering (AVQA) is a challenging task that involves answering questions based on both auditory and visual information in videos. A significant challenge is i…

cs.LG2024★ 1 cited

Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Zhenwen Liang, Ye Liu, Tong Niu +3

Despite significant advancements in the general capability of large language models (LLMs), they continue to struggle with consistent and accurate reasoning, especially in complex…

cs.AI2024

SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark

Zhenwen Liang, Kehan Guo, Gang Liu +7

The paper introduces SceMQA, a novel benchmark for scientific multimodal question answering at the college entrance level. It addresses a critical educational phase often overlooke…

cs.LG2024★ 3 cited

Defending Jailbreak Prompts via In-Context Adversarial Game

Yujun Zhou, Yufei Han, Haomin Zhuang +4

Large Language Models (LLMs) demonstrate remarkable capabilities across diverse applications. However, concerns regarding their security, particularly the vulnerability to jailbrea…

cs.LG2024

Manipulating Predictions over Discrete Inputs in Machine Teaching

Xiaodong Wu, Yufei Han, Hayssam Dahrouj +3

Machine teaching often involves the creation of an optimal (typically minimal) dataset to help a model (referred to as the `student') achieve specific goals given by a teacher. Whi…