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Long-Context Understanding
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs?
PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration
MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
ATLAS: Learning to Optimally Memorize the Context at Test Time
SpecExtend: A Drop-in Enhancement for Speculative Decoding of Long Sequences
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models
Beyond Needle(s) in the Embodied Haystack: Environment, Architecture, and Training Considerations for Long Context Reasoning
Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels
Towards Robust Evaluation of STEM Education: Leveraging MLLMs in Project-Based Learning
LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams
MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement
Kimi-VL Technical Report
CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning
Token Weighting for Long-Range Language Modeling
LongProLIP: A Probabilistic Vision-Language Model with Long Context Text
Self-Taught Agentic Long Context Understanding
LIFT: Improving Long Context Understanding of Large Language Models through Long Input Fine-Tuning
SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning
Facilitating Long Context Understanding via Supervised Chain-of-Thought Reasoning
Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance
BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models
Can LLMs Maintain Fundamental Abilities under KV Cache Compression?
A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI)
M+: Extending MemoryLLM with Scalable Long-Term Memory
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks
Repository Structure-Aware Training Makes SLMs Better Issue Resolver
LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning
State Space Models are Strong Text Rerankers
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios
Gated Delta Networks: Improving Mamba2 with Delta Rule
How Effective Is Self-Consistency for Long-Context Problems?
What is Wrong with Perplexity for Long-context Language Modeling?
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