Sample, Align, Synthesize: Graph-Based Response Synthesis with ConGrs
Fuente:
arXiv
Saved in:
| Main Authors: | Ghosh, Sayan, Warraich, Shahzaib Saqib, Tarsadiya, Dhruv, Yauney, Gregory, Swayamdipta, Swabha |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How Reliable is Language Model Micro-Benchmarking?
by: Yauney, Gregory, et al.
Published: (2025)
by: Yauney, Gregory, et al.
Published: (2025)
BenchBrowser: Retrieving Evidence for Evaluating Benchmark Validity
by: Diddee, Harshita, et al.
Published: (2026)
by: Diddee, Harshita, et al.
Published: (2026)
Compare without Despair: Reliable Preference Evaluation with Generation Separability
by: Ghosh, Sayan, et al.
Published: (2024)
by: Ghosh, Sayan, et al.
Published: (2024)
Annotating FrameNet via Structure-Conditioned Language Generation
by: Cui, Xinyue, et al.
Published: (2024)
by: Cui, Xinyue, et al.
Published: (2024)
Generative Explanations for Program Synthesizers
by: Nazari, Amirmohammad, et al.
Published: (2024)
by: Nazari, Amirmohammad, et al.
Published: (2024)
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
by: Ethayarajh, Kawin, et al.
Published: (2021)
by: Ethayarajh, Kawin, et al.
Published: (2021)
Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification
by: Liu, Joseph, et al.
Published: (2025)
by: Liu, Joseph, et al.
Published: (2025)
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?
by: Khurana, Urja, et al.
Published: (2024)
by: Khurana, Urja, et al.
Published: (2024)
Stronger Random Baselines for In-Context Learning
by: Yauney, Gregory, et al.
Published: (2024)
by: Yauney, Gregory, et al.
Published: (2024)
Disentangling Geometry, Performance, and Training in Language Models
by: Kulkarni, Atharva, et al.
Published: (2026)
by: Kulkarni, Atharva, et al.
Published: (2026)
Logits of API-Protected LLMs Leak Proprietary Information
by: Finlayson, Matthew, et al.
Published: (2024)
by: Finlayson, Matthew, et al.
Published: (2024)
Improving Language Model Personas via Rationalization with Psychological Scaffolds
by: Joshi, Brihi, et al.
Published: (2025)
by: Joshi, Brihi, et al.
Published: (2025)
Better Language Model Inversion by Compactly Representing Next-Token Distributions
by: Nazir, Murtaza, et al.
Published: (2025)
by: Nazir, Murtaza, et al.
Published: (2025)
Teaching Models to Understand (but not Generate) High-risk Data
by: Wang, Ryan, et al.
Published: (2025)
by: Wang, Ryan, et al.
Published: (2025)
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge
by: Howard, Phillip, et al.
Published: (2023)
by: Howard, Phillip, et al.
Published: (2023)
Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge
by: Cui, Xinyue, et al.
Published: (2025)
by: Cui, Xinyue, et al.
Published: (2025)
Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations
by: He, Keyu, et al.
Published: (2025)
by: He, Keyu, et al.
Published: (2025)
Sampling More, Getting Less: Calibration is the Diversity Bottleneck in LLMs
by: Banayeeanzade, Amin, et al.
Published: (2026)
by: Banayeeanzade, Amin, et al.
Published: (2026)
ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations
by: Joshi, Brihi, et al.
Published: (2025)
by: Joshi, Brihi, et al.
Published: (2025)
The Afterlives of Shakespeare and Company in Online Social Readership
by: Antoniak, Maria, et al.
Published: (2024)
by: Antoniak, Maria, et al.
Published: (2024)
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
by: Ranjit, Jaspreet, et al.
Published: (2024)
by: Ranjit, Jaspreet, et al.
Published: (2024)
ChEmREF: Evaluating Language Model Readiness for Chemical Emergency Response
by: Surana, Risha, et al.
Published: (2025)
by: Surana, Risha, et al.
Published: (2025)
Why Fine-Tuning Encourages Hallucinations and How to Fix It
by: Kaplan, Guy, et al.
Published: (2026)
by: Kaplan, Guy, et al.
Published: (2026)
Side-by-side Comparison Amplifies Dialect Bias in Language Models
by: Kondapally, Kritee, et al.
Published: (2026)
by: Kondapally, Kritee, et al.
Published: (2026)
Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning
by: Ranjit, Jaspreet, et al.
Published: (2026)
by: Ranjit, Jaspreet, et al.
Published: (2026)
Synthesizing POMDP Policies: Sampling Meets Model-checking via Learning
by: Chakraborty, Debraj, et al.
Published: (2026)
by: Chakraborty, Debraj, et al.
Published: (2026)
Evaluating Evaluation Metrics -- The Mirage of Hallucination Detection
by: Kulkarni, Atharva, et al.
Published: (2025)
by: Kulkarni, Atharva, et al.
Published: (2025)
ConMeC: A Dataset for Metonymy Resolution with Common Nouns
by: Ghosh, Saptarshi, et al.
Published: (2025)
by: Ghosh, Saptarshi, et al.
Published: (2025)
Every Language Model Has a Forgery-Resistant Signature
by: Finlayson, Matthew, et al.
Published: (2025)
by: Finlayson, Matthew, et al.
Published: (2025)
ProSocialAlign: Preference Conditioned Test Time Alignment in Language Models
by: Banerjee, Somnath, et al.
Published: (2025)
by: Banerjee, Somnath, et al.
Published: (2025)
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
by: Yu, Yangyang, et al.
Published: (2024)
by: Yu, Yangyang, et al.
Published: (2024)
ViConBERT: Context-Gloss Aligned Vietnamese Word Embedding for Polysemous and Sense-Aware Representations
by: Huynh, Khang T., et al.
Published: (2025)
by: Huynh, Khang T., et al.
Published: (2025)
ConFu: Contemplate the Future for Better Speculative Sampling
by: Qin, Zongyue, et al.
Published: (2026)
by: Qin, Zongyue, et al.
Published: (2026)
ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning
by: Weng, Jinta, et al.
Published: (2022)
by: Weng, Jinta, et al.
Published: (2022)
Preference-Guided Reflective Sampling for Aligning Language Models
by: Ye, Hai, et al.
Published: (2024)
by: Ye, Hai, et al.
Published: (2024)
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
by: Brannon, William, et al.
Published: (2023)
by: Brannon, William, et al.
Published: (2023)
When to Trust LLMs: Aligning Confidence with Response Quality
by: Tao, Shuchang, et al.
Published: (2024)
by: Tao, Shuchang, et al.
Published: (2024)
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis
by: Zhang, Bohan, et al.
Published: (2025)
by: Zhang, Bohan, et al.
Published: (2025)
SIA: A Synthesize-Inject-Align Framework for Knowledge-Grounded and Secure E-commerce Search LLMs with Industrial Deployment
by: Zhai, Zhouwei, et al.
Published: (2026)
by: Zhai, Zhouwei, et al.
Published: (2026)
Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA
by: Shen, Xiangqing, et al.
Published: (2025)
by: Shen, Xiangqing, et al.
Published: (2025)
Similar Items
-
How Reliable is Language Model Micro-Benchmarking?
by: Yauney, Gregory, et al.
Published: (2025) -
BenchBrowser: Retrieving Evidence for Evaluating Benchmark Validity
by: Diddee, Harshita, et al.
Published: (2026) -
Compare without Despair: Reliable Preference Evaluation with Generation Separability
by: Ghosh, Sayan, et al.
Published: (2024) -
Annotating FrameNet via Structure-Conditioned Language Generation
by: Cui, Xinyue, et al.
Published: (2024) -
Generative Explanations for Program Synthesizers
by: Nazari, Amirmohammad, et al.
Published: (2024)