RecaLLM interleaves explicit in-context retrieval with reasoning to mitigate the lost-in-thought degradation in long-context LLMs, achieving gains on RULER and HELMET benchmarks with short training contexts.
If the string appears inside a natural source sentence/clause, prefer recalling that whole clause again rather than splitting
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retrieval
RecaLLM interleaves explicit in-context retrieval with reasoning to mitigate the lost-in-thought degradation in long-context LLMs, achieving gains on RULER and HELMET benchmarks with short training contexts.