{"total":88,"rows":[{"id":"2405.01483","title":"MANTIS: Interleaved Multi-Image Instruction Tuning","created":"2024-05-02","cited_by_count":216,"area":"mllm"},{"id":"2412.19442","title":"A Survey on Large Language Model Acceleration based on KV Cache Management","created":"2024-12-27","cited_by_count":131,"area":"lr"},{"id":"2501.15368","title":"Baichuan-Omni-1.5 Technical Report","created":"2025-01-26","cited_by_count":111,"area":null},{"id":"2409.02889","title":"LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid Architecture","created":"2024-09-04","cited_by_count":102,"area":"mllm"},{"id":"2406.18139","title":"LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference","created":"2024-06-26","cited_by_count":95,"area":"mllm"},{"id":"2407.01370","title":"Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems","created":"2024-07-01","cited_by_count":87,"area":"rag"},{"id":"2408.02718","title":"MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models","created":"2024-08-05","cited_by_count":67,"area":"mllm"},{"id":"2406.07230","title":"Needle In A Multimodal Haystack","created":"2024-06-11","cited_by_count":58,"area":"mllm"},{"id":"2410.09421","title":"VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment","created":"2024-10-12","cited_by_count":58,"area":"mllm"},{"id":"2406.11230","title":"Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models","created":"2024-06-17","cited_by_count":55,"area":"mllm"},{"id":"2407.01863","title":"VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs","created":"2024-07-02","cited_by_count":47,"area":"lr"},{"id":"2501.16383","title":"RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations","created":"2025-01-25","cited_by_count":46,"area":"inference"},{"id":"2410.12332","title":"MC-Bench: A Benchmark for Multi-Context Visual Grounding in the Era of MLLMs","created":"2024-10-16","cited_by_count":39,"area":"mllm"},{"id":"2411.06176","title":"M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework","created":"2024-11-09","cited_by_count":36,"area":null},{"id":"2410.17637","title":"MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models","created":"2024-10-23","cited_by_count":34,"area":"mllm"},{"id":"2502.17599","title":"MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference","created":"2025-02-24","cited_by_count":31,"area":"mllm"},{"id":"2406.09175","title":"ReMI: A Dataset for Reasoning with Multiple Images","created":"2024-06-13","cited_by_count":30,"area":"lr"},{"id":"2505.10610","title":"MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly","created":"2025-05-15","cited_by_count":29,"area":"mllm"},{"id":"2412.09616","title":"V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding","created":"2024-12-12","cited_by_count":28,"area":"mllm"},{"id":"2504.18838","title":"Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks","created":"2025-04-26","cited_by_count":28,"area":null},{"id":"2409.18142","title":"A Survey on Multimodal Benchmarks: In the Era of Large AI Models","created":"2024-09-21","cited_by_count":27,"area":"mllm"},{"id":"2405.14974","title":"LOVA3: Learning to Visual Question Answering, Asking and Assessment","created":"2024-05-23","cited_by_count":21,"area":null},{"id":"2506.04280","title":"Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark","created":"2025-06-04","cited_by_count":21,"area":"lr"},{"id":"2406.00252","title":"Towards Rationality in Language and Multimodal Agents: A Survey","created":"2024-06-01","cited_by_count":16,"area":"agents"},{"id":"2406.16851","title":"Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts","created":"2024-06-24","cited_by_count":14,"area":"lr"},{"id":"2505.14661","title":"Abacus: A Cost-Based Optimizer for Semantic Operator Systems","created":"2025-05-20","cited_by_count":13,"area":null},{"id":"2412.04652","title":"Cross-Self KV Cache Pruning for Efficient Vision-Language Inference","created":"2024-12-05","cited_by_count":12,"area":"inference"},{"id":"2506.15635","title":"FindingDory: A Benchmark to Evaluate Memory in Embodied Agents","created":"2025-06-18","cited_by_count":12,"area":"mllm"},{"id":"2506.15724","title":"MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference","created":"2025-06-06","cited_by_count":12,"area":"mllm"},{"id":"2407.04923","title":"OmChat: A Recipe to Train Multimodal Language Models with Strong Long Context and Video Understanding","created":"2024-07-06","cited_by_count":11,"area":"mllm"},{"id":"2410.15453","title":"CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific Concepts","created":"2024-10-20","cited_by_count":11,"area":null},{"id":"2503.13299","title":"A Survey on Transformer Context Extension: Approaches and Evaluation","created":"2025-03-17","cited_by_count":11,"area":null},{"id":"2407.19474","title":"Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models","created":"2024-07-28","cited_by_count":10,"area":null},{"id":"2411.03823","title":"Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM","created":"2024-11-06","cited_by_count":10,"area":"mllm"},{"id":"2501.15021","title":"AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models","created":"2025-01-25","cited_by_count":9,"area":"mllm"},{"id":"2604.05546","title":"Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects","created":"2026-04-07","cited_by_count":9,"area":"lr"},{"id":"2509.17040","title":"From Easy to Hard: The MIR Benchmark for Progressive Interleaved Multi-Image Reasoning","created":"2025-09-21","cited_by_count":8,"area":"lr"},{"id":"2605.14906","title":"MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models","created":"2026-05-14","cited_by_count":7,"area":"mllm"},{"id":"2405.17234","title":"Benchmarking General-Purpose In-Context Learning","created":"2024-05-27","cited_by_count":6,"area":null},{"id":"2505.18605","title":"Rethinking Causal Mask Attention for Vision-Language Inference","created":"2025-05-24","cited_by_count":6,"area":"lr"},{"id":"2507.15882","title":"Document Haystack: A Long Context Multimodal Image/Document Understanding Vision LLM Benchmark","created":"2025-07-18","cited_by_count":6,"area":"mllm"},{"id":"2511.05534","title":"FlowMM: Cross-Modal Information Flow Guided KV Cache Merging for Efficient Multimodal Context Inference","created":"2025-10-29","cited_by_count":6,"area":"inference"},{"id":"2605.15710","title":"SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory","created":"2026-05-15","cited_by_count":6,"area":null},{"id":"2410.15490","title":"Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence","created":"2024-10-20","cited_by_count":5,"area":null},{"id":"2505.02087","title":"Retrieval-augmented in-context learning for multimodal large language models in disease classification","created":"2025-05-04","cited_by_count":5,"area":"mllm"},{"id":"2506.08373","title":"Draft-based Approximate Inference for LLMs","created":"2025-06-10","cited_by_count":5,"area":"inference"},{"id":"2410.01417","title":"The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs","created":"2024-10-02","cited_by_count":4,"area":"mllm"},{"id":"2506.10415","title":"Burn After Reading: Do Multimodal Large Language Models Truly Capture Order of Events in Image Sequences?","created":"2025-06-12","cited_by_count":4,"area":"lr"},{"id":"2512.05119","title":"RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering","created":"2025-10-11","cited_by_count":4,"area":null},{"id":"2409.10994","title":"Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs","created":"2024-09-17","cited_by_count":3,"area":"mllm"},{"id":"2504.18406","title":"HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?","created":"2025-04-25","cited_by_count":3,"area":null},{"id":"2510.00063","title":"AstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy","created":"2025-09-29","cited_by_count":3,"area":"mllm"},{"id":"2510.26781","title":"ChartAB: A Benchmark for Chart Grounding & Dense Alignment","created":"2025-10-30","cited_by_count":3,"area":null},{"id":"2511.16786","title":"Revisiting Multimodal KV Cache Compression: A Frequency-Domain-Guided Outlier-KV-Aware Approach","created":"2025-11-20","cited_by_count":3,"area":"mllm"},{"id":"2512.06759","title":"VisChainBench: A Benchmark for Multi-Turn, Multi-Image Visual Reasoning Beyond Language Priors","created":"2025-12-07","cited_by_count":3,"area":"lr"},{"id":"2604.05887","title":"HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference","created":"2026-04-07","cited_by_count":3,"area":"lr"},{"id":"2605.04075","title":"RetentiveKV: State-Space Memory for Uncertainty-Aware Multimodal KV Cache Eviction","created":"2026-04-14","cited_by_count":3,"area":"mllm"},{"id":"2606.23581","title":"Kamera: Unified Position-Invariant Multimodal KV Cache for Training-Free Reuse","created":"2026-06-22","cited_by_count":3,"area":"inference"},{"id":"2503.14161","title":"CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models","created":"2025-03-18","cited_by_count":2,"area":"mllm"},{"id":"2505.23065","title":"SNS-Bench-VL: Benchmarking Multimodal Large Language Models in Social Networking Services","created":"2025-05-29","cited_by_count":2,"area":"mllm"},{"id":"2508.00726","title":"MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models","created":"2025-08-01","cited_by_count":2,"area":"mllm"},{"id":"2602.14200","title":"TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning","created":"2026-02-15","cited_by_count":2,"area":"lr"},{"id":"2603.19466","title":"ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models","created":"2026-03-19","cited_by_count":2,"area":"mllm"},{"id":"2603.20209","title":"Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs","created":"2026-03-02","cited_by_count":2,"area":"lr"},{"id":"2603.21573","title":"Rethinking Visual Privacy: A Compositional Privacy Risk Framework for Severity Assessment with VLMs","created":"2026-03-23","cited_by_count":2,"area":null},{"id":"2606.31982","title":"ERA: Entropy-Guided Visual Token Pruning with Rectified Attention for Efficient MLLMs","created":"2026-06-30","cited_by_count":2,"area":"mllm"},{"id":"2602.11340","title":"Bi-Level Prompt Optimization for Multimodal LLM-as-a-Judge","created":"2026-02-11","cited_by_count":1,"area":"mllm"},{"id":"2605.12703","title":"MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence","created":"2026-05-12","cited_by_count":1,"area":null},{"id":"2607.25294","title":"CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition","created":"2026-07-28","cited_by_count":1,"area":null},{"id":"2608.00962","title":"PMMC: Prospective Multimodal Memory Compilation for Long-Term LVLM Agents","created":"2026-08-02","cited_by_count":1,"area":null},{"id":"2505.06594","title":"Integrating Video and Text: A Balanced Approach to Multimodal Summary Generation and Evaluation","created":"2025-05-10","cited_by_count":0,"area":"mllm"},{"id":"2509.17421","title":"RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2510.12014","title":"Embedding the Teacher: Distilling vLLM Preferences for Scalable Image Retrieval","created":"2025-10-13","cited_by_count":0,"area":"alignment"},{"id":"2510.13276","title":"MMLongCite: A Benchmark for Evaluating Fidelity of Long-Context Vision-Language Models","created":"2025-10-15","cited_by_count":0,"area":"mllm"},{"id":"2602.21854","title":"FewMMBench: A Benchmark for Multimodal Few-Shot Learning","created":"2026-02-25","cited_by_count":0,"area":"mllm"},{"id":"2603.24961","title":"Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2604.16734","title":"Reducing Peak Memory Usage for Modern Multimodal Large Language Model Pipelines","created":"2026-04-17","cited_by_count":0,"area":"mllm"},{"id":"2604.16883","title":"SinkRouter: Sink-Aware Routing for Efficient Long-Context Decoding in Large Language and Multimodal Models","created":"2026-04-18","cited_by_count":0,"area":"inference"},{"id":"2604.27389","title":"COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts","created":"2026-04-30","cited_by_count":0,"area":"mllm"},{"id":"2605.02262","title":"WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization","created":"2026-05-04","cited_by_count":0,"area":"inference"},{"id":"2606.16175","title":"PAL-Bench: Evidence-Grounded Profile Reconstruction from Longitudinal Personal Albums","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2606.26602","title":"DiCoBench: Benchmarking Multi-Image Fine-Grained Perception via Differential and Commonality Visual Cues","created":"2026-06-25","cited_by_count":0,"area":"mllm"},{"id":"2606.28845","title":"Personalizing MLLMs via Reinforced Multimodal Reference Game","created":"2026-06-27","cited_by_count":0,"area":"mllm"},{"id":"2608.03391","title":"TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.08630","title":"VLZip: Unified Visual and Textual Compression for Interleaved Long-Context Modeling","created":"2026-08-09","cited_by_count":0,"area":"mllm"},{"id":"2609.06663","title":"ECOKV: Geometry-Aware KV Cache Eviction via Complementary Diversity Metrics","created":"2026-09-06","cited_by_count":0,"area":"mllm"},{"id":"2609.38368","title":"Composition, Not Conversation: VLMs Lose the Scene, Not the Thread","created":"2026-09-29","cited_by_count":0,"area":"mllm"},{"id":"2610.12961","title":"MVGraph: Benchmarking LVLMs on Evidence Composition across Multi-View Visual Graph","created":"2026-10-09","cited_by_count":0,"area":"lr"}],"next_cursor":null}