SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
Paper
•
2412.11605
•
Published
•
18
ShowAndTell
-
-
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 101 -
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization
Paper • 2412.17739 • Published • 42 -
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval
Paper • 2412.15443 • Published • 10 -
ProgCo: Program Helps Self-Correction of Large Language Models
Paper • 2501.01264 • Published • 27 -
SDPO: Segment-Level Direct Preference Optimization for Social Agents
Paper • 2501.01821 • Published • 19 -
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use
Paper • 2501.02506 • Published • 11 -
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
Paper • 2501.03124 • Published • 14 -
Evaluating Sample Utility for Data Selection by Mimicking Model Weights
Paper • 2501.06708 • Published • 5 -
Atla Selene Mini: A General Purpose Evaluation Model
Paper • 2501.17195 • Published • 36 -
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
Paper • 2502.06781 • Published • 61 -
SpargeAttn: Accurate Sparse Attention Accelerating Any Model Inference
Paper • 2502.18137 • Published • 56 -
StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following
Paper • 2502.14494 • Published • 15 -
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
Paper • 2502.19328 • Published • 22 -
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
Paper • 2502.19361 • Published • 28 -
Towards an AI co-scientist
Paper • 2502.18864 • Published • 49 -
Predictive Data Selection: The Data That Predicts Is the Data That Teaches
Paper • 2503.00808 • Published • 57 -
From Hours to Minutes: Lossless Acceleration of Ultra Long Sequence Generation up to 100K Tokens
Paper • 2502.18890 • Published • 29 -
SampleMix: A Sample-wise Pre-training Data Mixing Strategey by Coordinating Data Quality and Diversity
Paper • 2503.01506 • Published • 9 -
General Reasoning Requires Learning to Reason from the Get-go
Paper • 2502.19402 • Published • 5 -
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition
Paper • 2503.00735 • Published • 21 -
Process-based Self-Rewarding Language Models
Paper • 2503.03746 • Published • 40 -
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval
Paper • 2503.04644 • Published • 21 -
Know You First and Be You Better: Modeling Human-Like User Simulators via Implicit Profiles
Paper • 2502.18968 • Published • 3 -
TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention
Paper • 2503.10602 • Published • 4 -
Temporal Consistency for LLM Reasoning Process Error Identification
Paper • 2503.14495 • Published • 9 -
EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
Paper • 2503.08893 • Published • 5 -
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base
Paper • 2503.23361 • Published • 6 -
Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization
Paper • 2503.20286 • Published • 4 -
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations
Paper • 2504.00824 • Published • 40 -
Agentic Knowledgeable Self-awareness
Paper • 2504.03553 • Published • 28 -
Heimdall: test-time scaling on the generative verification
Paper • 2504.10337 • Published • 32 -
TextArena
Paper • 2504.11442 • Published • 27 -
Efficient Process Reward Model Training via Active Learning
Paper • 2504.10559 • Published • 13 -
AI-University: An LLM-based platform for instructional alignment to scientific classrooms
Paper • 2504.08846 • Published • 8 -
Learning Adaptive Parallel Reasoning with Language Models
Paper • 2504.15466 • Published • 24