Implicit Relations
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Benchmarks
BIG-bench
Most implemented
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Training Compute-Optimal Large Language Models
Commonsense for Generative Multi-Hop Question Answering Tasks
KG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM Evaluation
Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-reference
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
Papers
Can AI Agents Detect and Repair Artifact Drift in Network Experiments?
In recent years, AI agents have evolved into capable assistants that carry out multi-step tasks in digital environments. The network systems community is beginning to explore these capabilities in operational and experim…
Implicit RelationsQUIETT: Query-Independent Table Transformation for Robust Reasoning
Real-world tables often contain schema inconsistencies, heterogeneous value formats, and implicit relational structures that degrade table reasoning and question answering. Existing approaches address these issues at que…
Implicit RelationsQuestion AnsweringEcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative Memory
Cognitive neuroscience research indicates that humans leverage cues to activate entity-centered memory traces (engrams) for complex, multi-hop recollection. Inspired by this mechanism, we introduce EcphoryRAG, an entity-…
Implicit RelationsQuestion AnsweringSymMatika: Structure-Aware Symbolic Discovery
Symbolic regression (SR) seeks to recover closed-form mathematical expressions that describe observed data. While existing methods have advanced the discovery of either explicit mappings (i.e., $y = f(\mathbf{x})$) or di…
Implicit RelationsKG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM Evaluation
The increasing context length of modern language models has created a need for evaluating their ability to retrieve and process information across extensive documents. While existing benchmarks test long-context capabili…
Answer GenerationImplicit RelationsQuestion-Answer-GenerationQuestion Generation+1CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors
Channel knowledge map (CKM) is a promising technology to enable environment-aware wireless communications and sensing with greatly enhanced performance, by offering location-specific channel prior information for future …
Data AugmentationDenoisingImplicit RelationsSuper-Resolution