Differences

This shows you the differences between two versions of the page.

--- nlp:seq2seq [2024/04/05 03:22] – [Decoding Strategies] jmflanig
+++ nlp:seq2seq [2025/05/29 07:15] (current) – [Decoding Strategies] jmflanig
@@ Line 17: / Line 17: @@
     * [[https://arxiv.org/pdf/2109.05093.pdf|Scholak et al 2021 - PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models]]
     * [[https://arxiv.org/pdf/2201.11227.pdf|Poesia et al 2022 - Synchromesh: Reliable Code Generation from Pre-trained Language Models]] They created a tool that will take a ANTLR parser and a string, and give you the set of valid next token completions (see sect 3.1).
+    * **[[https://arxiv.org/pdf/2305.13971|Geng et al 2023 - Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning]]** Elegant solution. Uses Grammatical Framework to constrain the outputs.
+    * **[[https://arxiv.org/pdf/2403.06988|Beurer-Kellner et al 2024 - Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation]]**
   * **Parallel Decoding**
     * [[https://arxiv.org/pdf/2305.10427.pdf|Santilli et al 2023 - Accelerating Transformer Inference for Translation via Parallel Decoding]]
   * **Speculative Decoding**
-    *
+    * Overviews
+      * [[https://arxiv.org/pdf/2401.07851|Xia et al 2024 - Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding]]
+      * [[https://arxiv.org/pdf/2405.13019|Khoshnoodi et al 2024 - A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models]]
+    * [[https://arxiv.org/pdf/2211.17192|Leviathan et al 2024 - Fast Inference from Transformers via Speculative Decoding]]
+    * [[https://arxiv.org/pdf/2404.11912|Sun et al 2024 - TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding]]
+    * [[https://arxiv.org/pdf/2502.17421|Yang et al 2025 - LongSpec: Long-Context Speculative Decoding with Efficient Drafting and Verification]]
+    * [[https://arxiv.org/pdf/2505.20776|Cha et al 2025 - SpecExtend: A Drop-in Enhancement for Speculative Decoding of Long Sequences]]
   * **Miscellaneous Decoding Techniques**
     * Contrastive Decoding