Papers

12094 papers

ICLR2025

OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces

Summary pending...

multimodal representations
ICLR2025

From Tokens to Words: On the Inner Lexicon of LLMs

Summary pending...

DetokenizationLarge Language ModelsLLM
ICLR2025

Forget the Data and Fine-Tuning! Just Fold the Network to Compress

Summary pending...

Model compressionmodel foldingmodel merging
ICLR2025

RuAG: Learned-rule-augmented Generation for Large Language Models

Summary pending...

Large language modelLogic Rule LearningMonte Carlo Tree Search
ICLR2025

DisPose: Disentangling Pose Guidance for Controllable Human Image Animation

Summary pending...

Diffusion Model; Controllable Video Generation; Human Animation
ICLR2025

A Closer Look at Machine Unlearning for Large Language Models

Summary pending...

Machine UnlearningLarge Language Models
ICLR2025

Weighted-Reward Preference Optimization for Implicit Model Fusion

Summary pending...

Model FusionPreference OptimizationLarge Language Models
ICLR2025

DyCAST: Learning Dynamic Causal Structure from Time Series

Summary pending...

dynamic causal discovery; time series
ICLR2025

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization

Summary pending...

multi-objective optimizationmany-objective optimizationTchebycheff scalarization
ICLR2025

GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs

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Graph LearningGraph Neural NetworksSynthetic Benchmarks
ICLR2025

Making Transformer Decoders Better Differentiable Indexers

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Generative RetrievalGenerative IndexEnd-to-end Recommender System
ICLR2025

ThinkBot: Embodied Instruction Following with Thought Chain Reasoning

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Embodied Instruction Following (EIF)Large Language ModelChain-of-thought Reasoning
ICLR2025

On Generalization Across Environments In Multi-Objective Reinforcement Learning

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Reinforcement LearningMulti-Objective Reinforcement LearningGeneralization
ICLR2025

HeadMap: Locating and Enhancing Knowledge Circuits in LLMs

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Large Language ModelParameter-Efficient Fine-TuningInterpretability
ICLR2025

MTSAM: Multi-Task Fine-Tuning for Segment Anything Model

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Multi-task learningsegment anything modellow-rank adaptation
ICLR2025

Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling

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Combinatorial OptimizationDiscrete OptimizationLearning for Combinatorial Optimization
ICLR2025

Arithmetic Without Algorithms: Language Models Solve Math with a Bag of Heuristics

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mechanistic interpretabilityinterpretabilityarithmetic
ICLR2025

Efficient Learning with Sine-Activated Low-Rank Matrices

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parameter efficient learninglow rank matrices
ICLR2025

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models

Summary pending...

progressive thought refinementself refinelarge language model
ICLR2025

Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective

Summary pending...

preference optimizationRLHFDPO