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TitleStatusHype
QwenLong-CPRS: Towards -LLMs with Dynamic Context Optimization—0
Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language ModelsCode0
Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling—0
ELDeR: Getting Efficient LLMs through Data-Driven Regularized Layer-wise Pruning—0
keepitsimple at SemEval-2025 Task 3: LLM-Uncertainty based Approach for Multilingual Hallucination Span DetectionCode0
Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied EnvironmentsCode0
Simulating Macroeconomic Expectations using LLM Agents—0
Large language model as user daily behavior data generator: balancing population diversity and individual personality—0
NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache—0
Taming LLMs with Negative Samples: A Reference-Free Framework to Evaluate Presentation Content with Actionable Feedback—0
Selection Mechanisms for Sequence Modeling using Linear State Space Models—0
SATURN: SAT-based Reinforcement Learning to Unleash Language Model ReasoningCode0
INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling—0
Beyond Correlation: Towards Causal Large Language Model Agents in Biomedicine—0
Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question AnsweringCode0
Power-Law Decay Loss for Large Language Model Finetuning: Focusing on Information Sparsity to Enhance Generation QualityCode0
DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation—0
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning—0
Small-to-Large Generalization: Data Influences Models Consistently Across Scale—0
Edge-First Language Model Inference: Models, Metrics, and Tradeoffs—0
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning—0
CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning—0
How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance—0
TensorAR: Refinement is All You Need in Autoregressive Image Generation—0
Incremental Sequence Classification with Temporal Consistency—0
Mechanistic Understanding and Mitigation of Language Confusion in English-Centric Large Language Models—0
Large Language Model-Empowered Interactive Load Forecasting—0
PaTH Attention: Position Encoding via Accumulating Householder Transformations—0
Attention with Trained Embeddings Provably Selects Important Tokens—0
Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning—0
Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks—0
MM-MovieDubber: Towards Multi-Modal Learning for Multi-Modal Movie Dubbing—0
On Multilingual Encoder Language Model Compression for Low-Resource Languages—0
EMULATE: A Multi-Agent Framework for Determining the Veracity of Atomic Claims by Emulating Human ActionsCode0
A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLPCode0
Latent Principle Discovery for Language Model Self-Improvement—0
CASTILLO: Characterizing Response Length Distributions of Large Language ModelsCode0
Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector—0
Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions—0
Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning—0
Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation—0
Self-GIVE: Associative Thinking from Limited Structured Knowledge for Enhanced Large Language Model Reasoning—0
Ensembling Sparse Autoencoders—0
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective—0
Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response TheoryCode0
Diagnosing our datasets: How does my language model learn clinical information?Code0
Revealing Language Model Trajectories via Kullback-Leibler Divergence—0
Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering—0
Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language ModelCode0
Likelihood Variance as Text Importance for Resampling Texts to Map Language Models—0
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