ICML 2024 Past Large language models
First Workshop on Long-Context Foundation Models @ ICML 2024
LCFM 2024
- Submission deadline
- Jun 7, 2024, 12:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (30)
Fetched from OpenReview (v2) on 2026-06-10.
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Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
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CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory
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CD-Pos: Long Context Generalization in LLMs Through Continuous and Discrete Position Synthesis
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Demonstrations in In-context Learning for LLMs with Large Label Space
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ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models
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FastDecode: High-Throughput LLM Serving through Disaggregating Attention Computation
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Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise
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From Text to Pixel: Advancing Long-Context Understanding in MLLMs
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Improved Algorithms for Kernel Matrix-Vector Multiplication
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In-Context Learning with Long-Context Models: An In-Depth Exploration
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InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
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Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data
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Long Context Understanding using Self-Generated Synthetic Data
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Long-Context Vision Large Language Models: Empirical Insights and A Baseline
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LongAlign: A Recipe for Long Context Alignment of Large Language Models
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Many-Shot In-Context Learning
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MINI-SEQUENCE TRANSFORMER: Optimizing Intermediate Memory for Long Sequences Training
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Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
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MSAMamba: Adapting Subquadratic Models To Long-Context DNA MSA Analysis
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PhaseEvo: Towards Unified Long-Context Prompt Optimization for Large Language Models
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Position Coupling: Leveraging Task Structure for Improved Length Generalization of Transformers
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Pretrained Hybrids with MAD Skills
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Probing the Decision Boundaries of In-context Learning in Large Language Models
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RepoQA: Evaluating Long Context Code Understanding
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Spatio-Spectral Graph Neural Networks
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Spectral State Space Models
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Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
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Vision-LSTM: xLSTM as Generic Vision Backbone
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xLSTM: Extended Long Short-Term Memory
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ZigMa: A DiT-style Zigzag Mamba Diffusion Model