Browse State-of-the-Art › multimodal interaction
multimodal interaction
41 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
No dataset record in the archive lists this task.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 41 papers with code (106 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
5 Feb 2021 6 repositories listed Syntology ran 1 of 4 samples · 3 unverified · 1 pointer-only (licence)Vision-and-Language Pre-training (VLP) has improved performance on various joint vision-and-language downstream tasks.
-
16 Jun 2025 2 repositories listedThe emergence of GPT-4o-like large multimodal models (LMMs) has raised the exploration of integrating text, vision, and speech modalities to support more flexible multimodal interaction.
-
13 Oct 2023 2 repositories listedConsequently, our work complements research on the performance of MLLMs in multimodal comprehension tasks, achieving a more comprehensive and holistic evaluation of MLLMs.
-
25 May 2025 1 repository listedCharts are high-density visualization carriers for complex data, serving as a crucial medium for information extraction and analysis.
-
25 May 2025 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)Modality fusion is a cornerstone of multimodal learning, enabling information integration from diverse data sources.
-
5 May 2025 1 repository listedWe introduce Ming-Lite-Uni, an open-source multimodal framework featuring a newly designed unified visual generator and a native multimodal autoregressive model tailored for unifying vision and language.
-
13 Mar 2025 1 repository listed Syntology ran 9 of 12 samples · 3 unverifiedOpen-vocabulary multiple object tracking aims to generalize trackers to unseen categories during training, enabling their application across a variety of real-world scenarios.
-
27 Jan 2025 1 repository listedTo tackle the EMDRC task, we construct a new dataset based on an existing MDRC dataset.
-
14 Nov 2024 1 repository listedTo address this limitation, we introduce Spider, a novel efficient Any-to-Many Modalities Generation (AMMG) framework, which can generate an arbitrary combination of modalities 'Text + Xs', such as Text + {Image and…
-
13 Nov 2024 1 repository listedRecent multimodal retrieval methods have endowed text-based retrievers with multimodal capabilities by utilizing pre-training strategies for visual-text alignment.
-
4 Nov 2024 1 repository listedThis survey provides a comprehensive review of mobile agent technologies, focusing on recent advancements that enhance real-time adaptability and multimodal interaction.
-
26 Oct 2024 1 repository listedMultimodal Large Language Models (MLLMs) have gained significant attention due to their impressive capabilities in multimodal understanding.
-
7 Oct 2024 1 repository listedJoint communication and sensing (JC\&S) is emerging as a key component in 5G and 6G networks, enabling dynamic adaptation to environmental changes and enhancing contextual awareness for optimized communication.
-
8 Sep 2024 1 repository listedMaTAV is with the advantages of aligning unimodal features to ensure consistency across different modalities and handling long input sequences to better capture contextual multimodal information.
-
2 Aug 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)Large multimodal models (LMMs) excel in adhering to human instructions.
-
23 Jul 2024 1 repository listedTo this end, we propose UniMEL, a unified framework which establishes a new paradigm to process multimodal entity linking tasks using LLMs.
-
10 Jul 2024 1 repository listed Syntology ran 2 of 4 samples · 2 unverifiedMoreover, TIP proposes a versatile tabular encoder tailored for incomplete, heterogeneous tabular data and a multimodal interaction module for inter-modality representation learning.
-
1 Jul 2024 1 repository listedWe introduce the concept of "empathic grounding" in conversational agents as an extension of Clark's conceptualization of grounding in conversation in which the grounding criterion includes listener empathy for the…
-
30 Jun 2024 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)To mitigate this, we further propose a training-free method called Residual Visual Decoding, where we revise the output distribution of LVLMs with the one derived from the residual visual input, providing models with…
-
26 Jun 2024 1 repository listed Syntology ran 4 of 5 samples · 1 unverifiedLong-context Multimodal Large Language Models (MLLMs) demand substantial computational resources for inference as the growth of their multimodal Key-Value (KV) cache, in response to increasing input lengths, challenges…
-
22 Apr 2024 1 repository listedNAE is a more challenging task because it requires both narrative flexibility and evaluation rigor.
-
19 Apr 2024 1 repository listedIn this paper, we propose a new Multimodal Representation Learning (MRL) method for Multimodal Sentiment Analysis (MSA), which facilitates the adaptive interaction between modalities through Cooperative Sentiment…
-
29 Mar 2024 1 repository listedIn this paper, we introduce the Draw-and-Understand project: a new model, a multi-domain dataset, and a challenging benchmark for visual prompting.
-
7 Jan 2024 1 repository listed Syntology ran 4 of 7 samples · 3 unverified · 7 pointer-only (licence)To accelerate research on agent-based multimodal intelligence, we define "Agent AI" as a class of interactive systems that can perceive visual stimuli, language inputs, and other environmentally-grounded data, and can…
-
16 Nov 2023 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)Advances in multimodal models have greatly improved how interactions relevant to various tasks are modeled.
-
26 Oct 2023 1 repository listedSimulation is an invaluable tool for developing and evaluating controllers for self-driving cars.
-
28 Jul 2023 1 repository listedRUME is applied to extract conversation-level contextual emotional cues while pulling together data distributions between modalities; ACME is utilized to perform multimodal interaction centered on textual modality; LESM…
-
19 Jul 2023 1 repository listedThen, to derive the similarity matching score for each mention-entity pair, we device three interaction units to comprehensively explore the intra-modal interaction and inter-modal fusion among features of entities and…
-
1 Jul 2023 1 repository listedWith the extracted face sequences, we propose a multimodal facial expression-aware emotion recognition model, which leverages the frame-level facial emotion distributions to help improve utterance-level emotion…
-
22 Jun 2023 1 repository listedMultimodal Entity Linking (MEL) is the task of mapping mentions with multimodal contexts to the referent entities from a knowledge base.
Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections