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Papers

Showing 51–100 of 202 papers

TitleStatusHype
MoNTA: Accelerating Mixture-of-Experts Training with Network-Traffc-Aware Parallel OptimizationCode0
C^2: Scalable Auto-Feedback for LLM-based Chart GenerationCode1
MPDS: A Movie Posters Dataset for Image Generation with Diffusion Model—0
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction TuningCode1
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion—0
KBLaM: Knowledge Base augmented Language ModelCode5
AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion PriorCode1
Diversity of Thought Elicits Stronger Reasoning Capabilities in Multi-Agent Debate Frameworks—0
L-CiteEval: Do Long-Context Models Truly Leverage Context for Responding?Code1
An Exploration of Self-Supervised Mutual Information Alignment for Multi-Task SettingsCode0
On The Adaptation of Unlimiformer for Decoder-Only Transformers—0
Extending Context Window of Large Language Models from a Distributional PerspectiveCode0
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularizationCode1
PipeFill: Using GPUs During Bubbles in Pipeline-parallel LLM Training—0
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language ModelsCode2
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language ModelsCode1
Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study—0
Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation CampaignsCode0
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language ModelsCode1
FocusLLM: Precise Understanding of Long Context by Dynamic CondensingCode1
Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language ModelsCode0
SketchRef: A Benchmark Dataset and Evaluation Metrics for Automated Sketch Synthesis—0
ProFuser: Progressive Fusion of Large Language Models—0
PGNeXt: High-Resolution Salient Object Detection via Pyramid Grafting Network—0
Evaluating Long Range Dependency Handling in Code Generation Models using Multi-Step Key Retrieval—0
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities—0
NeedleBench: Can LLMs Do Retrieval and Reasoning in Information-Dense Context?Code9
Learning to (Learn at Test Time): RNNs with Expressive Hidden StatesCode5
Let the Code LLM Edit Itself When You Edit the Code—0
Odd-One-Out: Anomaly Detection by Comparing with NeighborsCode2
Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics—0
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language ModelsCode0
Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging casesCode2
Distilling Opinions at Scale: Incremental Opinion Summarization using XL-OPSUMM—0
Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture—0
Cutting Through the Noise: Boosting LLM Performance on Math Word ProblemsCode0
Dataset Decomposition: Faster LLM Training with Variable Sequence Length CurriculumCode1
DELINE8K: A Synthetic Data Pipeline for the Semantic Segmentation of Historical DocumentsCode0
Extending Llama-3's Context Ten-Fold Overnight—0
LongEmbed: Extending Embedding Models for Long Context RetrievalCode2
Self-Supervised Visual Preference AlignmentCode2
BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion—0
CodeShell Technical Report—0
Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMs—0
Fast Kernel Scene FlowCode1
Machine Translation in the Covid domain: an English-Irish case study for LoResMT 2021—0
CAMixerSR: Only Details Need More "Attention"Code3
MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical ReasoningCode0
Can GPT-4 Identify Propaganda? Annotation and Detection of Propaganda Spans in News Articles—0
Divide-Conquer-and-Merge: Memory- and Time-Efficient Holographic Displays—0
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